Finance

Intern/Co-op - Refining Mechanical Engineer (Fall 2027)

An exciting career awaits you At MPC, we’re committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Responsibilities: As a Mechanical Engineer at a Marathon refinery, you can expect to become familiar with industry codes and best practices, build critical thinking skills, and gain an understanding of how all engineering disciplines work together as a cohesive team. You will also gain knowledge of various aspects of a refinery by working with a team of professionals who run a specific portion of the refining process. Most often, Mechanical Engineers will have an opportunity to work on more than one area of the refinery, leading to a broad understanding of how the plant operates. Finally, you will have the opportunity to expand your written and verbal presentation skills in a professional work environment. The majority of Mechanical Engineering co-ops and interns enter into the following positions: Area Refining Engineer/Project Engineers develop and use project management skills to create project scopes, estimates, and schedules. Once a project is developed and approved, you, as the project manager, will oversee the design effort and assist in the construction process. MPC will provide training and educational opportunities to help you develop your knowledge of other engineering disciplines. We are committed to developing engineers into professional project managers who can successfully manage projects of all sizes. Reliability Engineers support the refinery's Maintenance Department through design and development of equipment related improvements. Such improvements include root cause failure analysis, optimization of maintenance programs in rotating equipment (pumps, compressors, etc.), and troubleshooting fixed equipment (refinery pressure vessels, heat exchangers, piping systems, etc.). Reliability Engineers will also be continuously challenged to find new technology in design, materials and repair methods to achieve refinery goals of longer running times at lower costs. Qualifications: Candidates must be majoring in Mechanical Engineering Strong academic performance Candidates must be authorized to work in the US on a full-time indefinite basis without the need for employment visa sponsorship now or in the future. Positions are available spring, summer, and fall semesters Availability for multiple work terms is preferred A valid driver's license is required Concurrent enrollment in a degree seeking program Military experience a plus MIN - $32.92 per hour / MAX - $41.67 per hour Learn more about Marathon Petroleum’s benefits at www.mympcbenefits.com As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: Anacortes WA Refinery, Canton OH Refinery, Catlettsburg KY Refinery, Detroit MI Refinery, El Paso TX Refinery, Galveston Bay Refinery, Garyville LA Refinery, Kenai AK Refinery, Los Angeles CA Refinery, Mandan ND Refinery, Martinez CA Refinery, Robinson IL Refinery, Salt Lake City UT Refinery, St Paul Park MN Refinery Job Requisition ID: 00023684 Location Address: 539 S Main St Education : Employee Group: Full time Employee Subgroup: Intern Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at [email protected]. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

  • Galveston, TX

  • no content

Intern/Co-op - Refining Mechanical Engineer (Fall 2027)

An exciting career awaits you At MPC, we’re committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Responsibilities: As a Mechanical Engineer at a Marathon refinery, you can expect to become familiar with industry codes and best practices, build critical thinking skills, and gain an understanding of how all engineering disciplines work together as a cohesive team. You will also gain knowledge of various aspects of a refinery by working with a team of professionals who run a specific portion of the refining process. Most often, Mechanical Engineers will have an opportunity to work on more than one area of the refinery, leading to a broad understanding of how the plant operates. Finally, you will have the opportunity to expand your written and verbal presentation skills in a professional work environment. The majority of Mechanical Engineering co-ops and interns enter into the following positions: Area Refining Engineer/Project Engineers develop and use project management skills to create project scopes, estimates, and schedules. Once a project is developed and approved, you, as the project manager, will oversee the design effort and assist in the construction process. MPC will provide training and educational opportunities to help you develop your knowledge of other engineering disciplines. We are committed to developing engineers into professional project managers who can successfully manage projects of all sizes. Reliability Engineers support the refinery's Maintenance Department through design and development of equipment related improvements. Such improvements include root cause failure analysis, optimization of maintenance programs in rotating equipment (pumps, compressors, etc.), and troubleshooting fixed equipment (refinery pressure vessels, heat exchangers, piping systems, etc.). Reliability Engineers will also be continuously challenged to find new technology in design, materials and repair methods to achieve refinery goals of longer running times at lower costs. Qualifications: Candidates must be majoring in Mechanical Engineering Strong academic performance Candidates must be authorized to work in the US on a full-time indefinite basis without the need for employment visa sponsorship now or in the future. Positions are available spring, summer, and fall semesters Availability for multiple work terms is preferred A valid driver's license is required Concurrent enrollment in a degree seeking program Military experience a plus MIN - $32.92 per hour / MAX - $41.67 per hour Learn more about Marathon Petroleum’s benefits at www.mympcbenefits.com As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: Anacortes WA Refinery, Canton OH Refinery, Catlettsburg KY Refinery, Detroit MI Refinery, El Paso TX Refinery, Galveston Bay Refinery, Garyville LA Refinery, Kenai AK Refinery, Los Angeles CA Refinery, Mandan ND Refinery, Martinez CA Refinery, Robinson IL Refinery, Salt Lake City UT Refinery, St Paul Park MN Refinery Job Requisition ID: 00023684 Location Address: 539 S Main St Education : Employee Group: Full time Employee Subgroup: Intern Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at [email protected]. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

  • Los Angeles, CA

  • no content

Intern/Co-op - Refining Mechanical Engineer (Fall 2027)

An exciting career awaits you At MPC, we’re committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Responsibilities: As a Mechanical Engineer at a Marathon refinery, you can expect to become familiar with industry codes and best practices, build critical thinking skills, and gain an understanding of how all engineering disciplines work together as a cohesive team. You will also gain knowledge of various aspects of a refinery by working with a team of professionals who run a specific portion of the refining process. Most often, Mechanical Engineers will have an opportunity to work on more than one area of the refinery, leading to a broad understanding of how the plant operates. Finally, you will have the opportunity to expand your written and verbal presentation skills in a professional work environment. The majority of Mechanical Engineering co-ops and interns enter into the following positions: Area Refining Engineer/Project Engineers develop and use project management skills to create project scopes, estimates, and schedules. Once a project is developed and approved, you, as the project manager, will oversee the design effort and assist in the construction process. MPC will provide training and educational opportunities to help you develop your knowledge of other engineering disciplines. We are committed to developing engineers into professional project managers who can successfully manage projects of all sizes. Reliability Engineers support the refinery's Maintenance Department through design and development of equipment related improvements. Such improvements include root cause failure analysis, optimization of maintenance programs in rotating equipment (pumps, compressors, etc.), and troubleshooting fixed equipment (refinery pressure vessels, heat exchangers, piping systems, etc.). Reliability Engineers will also be continuously challenged to find new technology in design, materials and repair methods to achieve refinery goals of longer running times at lower costs. Qualifications: Candidates must be majoring in Mechanical Engineering Strong academic performance Candidates must be authorized to work in the US on a full-time indefinite basis without the need for employment visa sponsorship now or in the future. Positions are available spring, summer, and fall semesters Availability for multiple work terms is preferred A valid driver's license is required Concurrent enrollment in a degree seeking program Military experience a plus MIN - $32.92 per hour / MAX - $41.67 per hour Learn more about Marathon Petroleum’s benefits at www.mympcbenefits.com As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: Anacortes WA Refinery, Canton OH Refinery, Catlettsburg KY Refinery, Detroit MI Refinery, El Paso TX Refinery, Galveston Bay Refinery, Garyville LA Refinery, Kenai AK Refinery, Los Angeles CA Refinery, Mandan ND Refinery, Martinez CA Refinery, Robinson IL Refinery, Salt Lake City UT Refinery, St Paul Park MN Refinery Job Requisition ID: 00023684 Location Address: 539 S Main St Education : Employee Group: Full time Employee Subgroup: Intern Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at [email protected]. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

  • El Paso, TX

  • no content

Intern/Co-op - Refining Mechanical Engineer (Fall 2027)

An exciting career awaits you At MPC, we’re committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Responsibilities: As a Mechanical Engineer at a Marathon refinery, you can expect to become familiar with industry codes and best practices, build critical thinking skills, and gain an understanding of how all engineering disciplines work together as a cohesive team. You will also gain knowledge of various aspects of a refinery by working with a team of professionals who run a specific portion of the refining process. Most often, Mechanical Engineers will have an opportunity to work on more than one area of the refinery, leading to a broad understanding of how the plant operates. Finally, you will have the opportunity to expand your written and verbal presentation skills in a professional work environment. The majority of Mechanical Engineering co-ops and interns enter into the following positions: Area Refining Engineer/Project Engineers develop and use project management skills to create project scopes, estimates, and schedules. Once a project is developed and approved, you, as the project manager, will oversee the design effort and assist in the construction process. MPC will provide training and educational opportunities to help you develop your knowledge of other engineering disciplines. We are committed to developing engineers into professional project managers who can successfully manage projects of all sizes. Reliability Engineers support the refinery's Maintenance Department through design and development of equipment related improvements. Such improvements include root cause failure analysis, optimization of maintenance programs in rotating equipment (pumps, compressors, etc.), and troubleshooting fixed equipment (refinery pressure vessels, heat exchangers, piping systems, etc.). Reliability Engineers will also be continuously challenged to find new technology in design, materials and repair methods to achieve refinery goals of longer running times at lower costs. Qualifications: Candidates must be majoring in Mechanical Engineering Strong academic performance Candidates must be authorized to work in the US on a full-time indefinite basis without the need for employment visa sponsorship now or in the future. Positions are available spring, summer, and fall semesters Availability for multiple work terms is preferred A valid driver's license is required Concurrent enrollment in a degree seeking program Military experience a plus MIN - $32.92 per hour / MAX - $41.67 per hour Learn more about Marathon Petroleum’s benefits at www.mympcbenefits.com As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: Anacortes WA Refinery, Canton OH Refinery, Catlettsburg KY Refinery, Detroit MI Refinery, El Paso TX Refinery, Galveston Bay Refinery, Garyville LA Refinery, Kenai AK Refinery, Los Angeles CA Refinery, Mandan ND Refinery, Martinez CA Refinery, Robinson IL Refinery, Salt Lake City UT Refinery, St Paul Park MN Refinery Job Requisition ID: 00023684 Location Address: 539 S Main St Education : Employee Group: Full time Employee Subgroup: Intern Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at [email protected]. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

  • Robinson, IL

  • no content

Pharmacy Graduate Intern (Non-US Education)

Job Summary: Engages in post-graduate pharmacy activities under direct supervision of licensed pharmacist to fulfill the State Board of Pharmacy requirements. Provides pharmacy consulting services to customers regarding the effective usage of medications, awareness with drug interactions and offering preventive healthcare services such as immunizations. Responsible for ensuring the proper compounding, dispensation, review and verification of prescribed medications within regulatory guidelines, company policies and procedures. Supports the efficient workflow of the pharmacy and assists the pharmacy manager in identifying ways to optimize pharmacy financials, inventory management and enhance customer experience. Job Responsibilities: Customer Experience Engages customers and patients by greeting them and offering assistance with products and services. Resolves customer issues in a timely manner and answers questions to ensure a positive customer experience. Models and shares customer service best practices with all team members to deliver a distinctive and delightful customer experience, including interpersonal habits (e.g., greeting, eye contact, courtesy, etc.) and Walgreens service traits (e.g., offering help proactively, identifying needs, servicing until satisfied, etc.). Develops strong relationships with most valuable customers by anticipating customer needs and proactively offering services. Supports efforts on enhancing customer experience by increasing focus on healthcare services (e.g. patient consultation, medication management, drug therapy reviews, and perform retail, clinical, or wellness services such as immunizations, flu shots, and diabetes awareness) thereby promoting the shift of the pharmacy role from transactional to interpersonal. Participates and assists in community events as requested by Store Manager, Healthcare Supervisor, District Manager or Pharmacy Manager. Operations Under direct supervision of a licensed pharmacist, counsels patients and answers their questions regarding usage of medicine, side effects, interactions, contraindications, patient information privacy, generics, less expensive medicines, over-the-counter products, and refers to medical provider as needed to ensure medication is taken correctly, health needs addressed, and satisfaction with service. Performs pharmacist tasks including compounding, drug therapy reviews, verification, and medication management. Reviews, interprets and accurately dispenses prescribed medications when necessitated by workload. Ensures the pharmacy operates in accordance to regulations, company policies and standards. Assists pharmacy manager with establishing procedures that promotes the efficient workflow of the pharmacy including assigning roles, coordinating activities and soliciting employee suggestions. Responsible for the opening and closing of the pharmacy and shift change duties. Ensures the use of all elements of the Good Faith Dispensing policy in conjunction with state and federal controlled substance laws when filling prescriptions. The Product Review/Retail Fill Process Pharmacist has the ultimate responsibility for ensuring that the elements of Good Faith are present. Maintains current knowledge of information technology associated with pharmacy systems such as Intercom Plus, registers, automation, StoreNET to provide support to customers as well as pharmacy staff. Proposes and implements enhancements to pharmacy systems to further promote productivity. Ensures the accurate processing of insurance claims to resolve customer issues and prevent payment rejections. Follows-up with insurance companies as well as medical providers and participates in 3rd party audit. Follows-up with medical providers' offices to clarify prescribed medications, dosages, refills, interactions and allergies to suggest alternative medications, and answer medical provider questions. Performs retail, clinical, and wellness services such as immunizations, flu shots, diabetes awareness and other preventive healthcare services. Assists and supports the pharmacy manager in analyzing performance data including pharmacy financial, customer service, and implementation of procedures for pharmacy asset protection and inventory management. Reviews KPI's with Pharmacy Manager, Store Manager, and Healthcare Supervisor. Develops and maintains good relationships with local medical community including physicians, nurses, and other health care providers. Participates in community outreach activities to promote the pharmacy business and further enhance growth opportunities. Partners with Central Pharmacy Operations for customer registration, 3rd party reviews, and assists with resolving customer issues to support the Well Experience locations. In virtual environments, conducts virtual product review by following specific company procedures and guidelines (e.g. using specific photographs taken by the technicians sent electronically during the F4 process and reduce transactional tasks). People & Performance Management Assists the Pharmacy Manager with staff hiring and training. Reinforces the direction of Pharmacy Manager in staff performance by coaching, and providing constructive feedback, monitoring customer service, and fostering employee development. Promotes teamwork and motivates team members by establishing expectations, monitors and recognizes progress, and fosters a shared vision. Training & Personal Development Maintains current knowledge and skills related to pharmacy and healthcare by reading pharmacy related journals, company publications, and communications. Maintains awareness of developments in retail and management and pursues best practices that would enhance performance. Obtains necessary certifications, education credits and training such as People Plus Learning modules as required by the Company. Seeks professional development by monitoring one's performance, solicits for constructive feedback, and leverages pharmacy manager and store manager as mentor and coach. Communications Supports the Pharmacy Manager and Store Manager by communicating relevant corporate health and wellness services or strategy information to pharmacy staff. Basic Qualifications Bachelor's degree in Pharmacy from accredited University outside the United States Foreign Pharmacist Graduate Equivalency Certificate (FPGEC). Intern permit/certificate issued by the respective Board of Pharmacy, if required? (Note - If you live in a state that does NOT require an Intern permit/certificate, response is "yes" Willingness to obtain pharmacist licensure from the respective Board of Pharmacy in the states within the district within 45 days of completion of intern hours. Certified Immunizer or willing to become an immunizer within 90 days of hire. Preferred Qualifications We will consider employment of qualified applicants with arrest and conviction records. An Equal Opportunity Employer, including disability/veterans About Walgreens Boots Alliance Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers' and patients' needs through its convenient retail locations, digital platforms and health and beauty products. Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores. WBA's purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business. WBA is included in FORTUNE's 2021 list of the World's Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list. More company information is available at www.walgreensbootsalliance.com. The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits . If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits Salary Range: PHIG - $33.50/hr - $45.30/hr

  • Los Angeles, CA

  • no content

Pharmacy Intern

Job Objectives Learn to provide the best patient experience through assisting the pharmacist and pharmacy team members in accordance with state and federal regulations. Responsible for using pharmacy systems to obtain patient and drug information and process prescriptions. Models and delivers a distinctive and delightful customer experience. Learns and champions pharmacy policy, procedures, and customer service best practices needed to perform as a future pharmacist. Job Responsibilities/Tasks Customer Experience Engages customers and patients by greeting them and offering assistance with products and services. Resolves customer issues and answers questions to ensure a positive customer experience. Models and shares customer service best practices with all team members to deliver a distinctive and delightful customer experience, including interpersonal habits (e.g., greeting, eye contact, courtesy, etc.) and Walgreens service traits (e.g., offering help proactively, identifying needs, servicing until satisfied, etc.). Develops strong relationships with customers. Operations Learn from store and pharmacy team members, field leadership, team members and customers/patients Under the supervision by the pharmacist, assist in the practice of pharmacy, in accordance with state, federal, and company policy. Reviews and complies with the Walgreen Co. Pharmacy Code of Conduct. Performs duties as assigned and supervised by the pharmacist in accordance with Walgreens standard operating procedures for entering, third party processing, filling, and dispensing prescriptions. Assists pharmacists and other healthcare providers in delivering patient care and services that are within the state scope of practice for pharmacy interns including patient counseling and other health services (i.e. blood pressure, medication therapy management). Immediately reports prescription errors to pharmacist on duty and adheres to Company policies and procedures in relation to pharmacy errors and the Quality Improvement Program. Strictly adheres to the Walgreen Co. policy regarding Good Faith Dispensing Responsible and accountable for registering all related sales on assigned cash register, collects and handles cash as required. Takes customer to OTC aisle when possible to assist in locating products. Handles telephone calls that do not require personal attention of the pharmacist, including those to physicians. Assists and supports Pharmacy Department on inventory management activities, such as, ordering, unpacking, checking and storing shipment of pharmaceuticals. Maintains knowledge of Company asset protection techniques, and files claims for warehouse overages (merchandise received, but not billed), shortages (merchandise billed, but not received), order errors or damaged goods involving Rx drugs. Assists with exterior and interior maintenance by ensuring the Pharmacy Department is stocked with adequate supplies, clean, neat and orderly in condition and appearance. Complies with all company policies and procedures; maintains respectful relationships with coworkers. Complete special assignments and other tasks as assigned. Training and Personal Development Complete required training Maintains knowledge and skill in healthcare and pharmacy, including latest news and developments. The following information is applicable for San Francisco, CA applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. An Equal Opportunity Employer, including disability/veterans. Basic Qualifications Must be enrolled in a school of Pharmacy program. Must be fluent in reading, writing, and speaking English. (Except in Puerto Rico). Requires willingness to work flexible schedule, including evening and weekend hours. Preferred Qualifications We will consider employment of qualified applicants with arrest and conviction records. The current salary range for this position is $18.00 per hour - $31.00 per hour. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors.

  • Dublin, OH

  • no content

Intern/Co-op - Refining Mechanical Engineer (Fall 2027)

An exciting career awaits you At MPC, we’re committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Responsibilities: As a Mechanical Engineer at a Marathon refinery, you can expect to become familiar with industry codes and best practices, build critical thinking skills, and gain an understanding of how all engineering disciplines work together as a cohesive team. You will also gain knowledge of various aspects of a refinery by working with a team of professionals who run a specific portion of the refining process. Most often, Mechanical Engineers will have an opportunity to work on more than one area of the refinery, leading to a broad understanding of how the plant operates. Finally, you will have the opportunity to expand your written and verbal presentation skills in a professional work environment. The majority of Mechanical Engineering co-ops and interns enter into the following positions: Area Refining Engineer/Project Engineers develop and use project management skills to create project scopes, estimates, and schedules. Once a project is developed and approved, you, as the project manager, will oversee the design effort and assist in the construction process. MPC will provide training and educational opportunities to help you develop your knowledge of other engineering disciplines. We are committed to developing engineers into professional project managers who can successfully manage projects of all sizes. Reliability Engineers support the refinery's Maintenance Department through design and development of equipment related improvements. Such improvements include root cause failure analysis, optimization of maintenance programs in rotating equipment (pumps, compressors, etc.), and troubleshooting fixed equipment (refinery pressure vessels, heat exchangers, piping systems, etc.). Reliability Engineers will also be continuously challenged to find new technology in design, materials and repair methods to achieve refinery goals of longer running times at lower costs. Qualifications: Candidates must be majoring in Mechanical Engineering Strong academic performance Candidates must be authorized to work in the US on a full-time indefinite basis without the need for employment visa sponsorship now or in the future. Positions are available spring, summer, and fall semesters Availability for multiple work terms is preferred A valid driver's license is required Concurrent enrollment in a degree seeking program Military experience a plus MIN - $32.92 per hour / MAX - $41.67 per hour Learn more about Marathon Petroleum’s benefits at www.mympcbenefits.com As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: Anacortes WA Refinery, Canton OH Refinery, Catlettsburg KY Refinery, Detroit MI Refinery, El Paso TX Refinery, Galveston Bay Refinery, Garyville LA Refinery, Kenai AK Refinery, Los Angeles CA Refinery, Mandan ND Refinery, Martinez CA Refinery, Robinson IL Refinery, Salt Lake City UT Refinery, St Paul Park MN Refinery Job Requisition ID: 00023684 Location Address: 539 S Main St Education : Employee Group: Full time Employee Subgroup: Intern Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at [email protected]. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

  • Kenai, AK

  • no content

Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads Block's efforts to build the Customer World Model (CWM) : a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs. The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf. We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas: Customer World Models Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. Examples include: Representation learning over long-horizon customer histories Event-based foundation models Multi-modal customer representations spanning structured, sequential, and graph data Memory architectures for long-term customer understanding Proactive Intelligence Developing systems that can anticipate customer needs and initiate helpful actions before being asked. Examples include: Opportunity detection and next-best-action systems Long-horizon planning and decision-making Preference and goal inference Learning when intervention creates value versus friction Agentic Decision Systems Building agents that reason over customer world models and take actions in real environments. Examples include: Tool use and planning Multi-step reasoning over customer state Autonomous workflow execution Recovery and adaptation under uncertainty Learning from Feedback Loops Developing methods that allow intelligence to improve continuously from real-world outcomes. Examples include: Reinforcement learning from customer and product feedback Reward modeling and preference learning Counterfactual evaluation Credit assignment over long decision horizons Evaluation and Measurement Building evaluation frameworks that predict real-world performance, trust, and customer value. Examples include: Simulated customer environments Longitudinal evaluation Decision quality metrics Safety and reliability benchmarks What we're looking for We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time. Required Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op. Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. Experience conducting independent research and translating ideas into working systems. Fluency in Python and experience with PyTorch, JAX, or similar frameworks. Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work. Nice to have Experience with large language models and agentic systems. Experience with reinforcement learning, reward modeling, or sequential decision-making. Experience with representation learning for structured, temporal, or graph data. Familiarity with large-scale training and production ML systems. Interest in building AI systems that directly affect customer outcomes. What you'll get Direct mentorship from researchers working on the future of proactive intelligence at Block. Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources. Opportunities to publish and contribute to open-source projects. A chance to shape foundational technology that could power the next generation of Block products. Exposure to both scientific research and product deployment, with a clear path from idea to impact. Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

  • Brockton, MA

  • no content

Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads Block's efforts to build the Customer World Model (CWM) : a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs. The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf. We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas: Customer World Models Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. Examples include: Representation learning over long-horizon customer histories Event-based foundation models Multi-modal customer representations spanning structured, sequential, and graph data Memory architectures for long-term customer understanding Proactive Intelligence Developing systems that can anticipate customer needs and initiate helpful actions before being asked. Examples include: Opportunity detection and next-best-action systems Long-horizon planning and decision-making Preference and goal inference Learning when intervention creates value versus friction Agentic Decision Systems Building agents that reason over customer world models and take actions in real environments. Examples include: Tool use and planning Multi-step reasoning over customer state Autonomous workflow execution Recovery and adaptation under uncertainty Learning from Feedback Loops Developing methods that allow intelligence to improve continuously from real-world outcomes. Examples include: Reinforcement learning from customer and product feedback Reward modeling and preference learning Counterfactual evaluation Credit assignment over long decision horizons Evaluation and Measurement Building evaluation frameworks that predict real-world performance, trust, and customer value. Examples include: Simulated customer environments Longitudinal evaluation Decision quality metrics Safety and reliability benchmarks What we're looking for We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time. Required Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op. Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. Experience conducting independent research and translating ideas into working systems. Fluency in Python and experience with PyTorch, JAX, or similar frameworks. Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work. Nice to have Experience with large language models and agentic systems. Experience with reinforcement learning, reward modeling, or sequential decision-making. Experience with representation learning for structured, temporal, or graph data. Familiarity with large-scale training and production ML systems. Interest in building AI systems that directly affect customer outcomes. What you'll get Direct mentorship from researchers working on the future of proactive intelligence at Block. Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources. Opportunities to publish and contribute to open-source projects. A chance to shape foundational technology that could power the next generation of Block products. Exposure to both scientific research and product deployment, with a clear path from idea to impact. Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

  • Mesa, AZ

  • no content

Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads Block's efforts to build the Customer World Model (CWM) : a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs. The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf. We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas: Customer World Models Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. Examples include: Representation learning over long-horizon customer histories Event-based foundation models Multi-modal customer representations spanning structured, sequential, and graph data Memory architectures for long-term customer understanding Proactive Intelligence Developing systems that can anticipate customer needs and initiate helpful actions before being asked. Examples include: Opportunity detection and next-best-action systems Long-horizon planning and decision-making Preference and goal inference Learning when intervention creates value versus friction Agentic Decision Systems Building agents that reason over customer world models and take actions in real environments. Examples include: Tool use and planning Multi-step reasoning over customer state Autonomous workflow execution Recovery and adaptation under uncertainty Learning from Feedback Loops Developing methods that allow intelligence to improve continuously from real-world outcomes. Examples include: Reinforcement learning from customer and product feedback Reward modeling and preference learning Counterfactual evaluation Credit assignment over long decision horizons Evaluation and Measurement Building evaluation frameworks that predict real-world performance, trust, and customer value. Examples include: Simulated customer environments Longitudinal evaluation Decision quality metrics Safety and reliability benchmarks What we're looking for We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time. Required Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op. Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. Experience conducting independent research and translating ideas into working systems. Fluency in Python and experience with PyTorch, JAX, or similar frameworks. Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work. Nice to have Experience with large language models and agentic systems. Experience with reinforcement learning, reward modeling, or sequential decision-making. Experience with representation learning for structured, temporal, or graph data. Familiarity with large-scale training and production ML systems. Interest in building AI systems that directly affect customer outcomes. What you'll get Direct mentorship from researchers working on the future of proactive intelligence at Block. Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources. Opportunities to publish and contribute to open-source projects. A chance to shape foundational technology that could power the next generation of Block products. Exposure to both scientific research and product deployment, with a clear path from idea to impact. Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

  • Aurora, IL

  • no content

Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads Block's efforts to build the Customer World Model (CWM) : a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs. The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf. We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas: Customer World Models Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. Examples include: Representation learning over long-horizon customer histories Event-based foundation models Multi-modal customer representations spanning structured, sequential, and graph data Memory architectures for long-term customer understanding Proactive Intelligence Developing systems that can anticipate customer needs and initiate helpful actions before being asked. Examples include: Opportunity detection and next-best-action systems Long-horizon planning and decision-making Preference and goal inference Learning when intervention creates value versus friction Agentic Decision Systems Building agents that reason over customer world models and take actions in real environments. Examples include: Tool use and planning Multi-step reasoning over customer state Autonomous workflow execution Recovery and adaptation under uncertainty Learning from Feedback Loops Developing methods that allow intelligence to improve continuously from real-world outcomes. Examples include: Reinforcement learning from customer and product feedback Reward modeling and preference learning Counterfactual evaluation Credit assignment over long decision horizons Evaluation and Measurement Building evaluation frameworks that predict real-world performance, trust, and customer value. Examples include: Simulated customer environments Longitudinal evaluation Decision quality metrics Safety and reliability benchmarks What we're looking for We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time. Required Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op. Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. Experience conducting independent research and translating ideas into working systems. Fluency in Python and experience with PyTorch, JAX, or similar frameworks. Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work. Nice to have Experience with large language models and agentic systems. Experience with reinforcement learning, reward modeling, or sequential decision-making. Experience with representation learning for structured, temporal, or graph data. Familiarity with large-scale training and production ML systems. Interest in building AI systems that directly affect customer outcomes. What you'll get Direct mentorship from researchers working on the future of proactive intelligence at Block. Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources. Opportunities to publish and contribute to open-source projects. A chance to shape foundational technology that could power the next generation of Block products. Exposure to both scientific research and product deployment, with a clear path from idea to impact. Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

  • Erie, PA

  • no content

Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)

Team: Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the co-op) About Apollo Apollo leads Block's efforts to build the Customer World Model (CWM) : a continuously evolving representation of each customer's goals, context, history, constraints, and likely future needs. The CWM powers proactive intelligence across Block's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what matters, anticipates what comes next, and initiates actions on their behalf. We believe the next generation of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that enable systems to reason over a customer's evolving state, make better decisions, and learn continuously from outcomes. Apollo designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year. What you'll work on Depending on your interests and Apollo's roadmap, you'll focus on one or more of the following areas: Customer World Models Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. Examples include: Representation learning over long-horizon customer histories Event-based foundation models Multi-modal customer representations spanning structured, sequential, and graph data Memory architectures for long-term customer understanding Proactive Intelligence Developing systems that can anticipate customer needs and initiate helpful actions before being asked. Examples include: Opportunity detection and next-best-action systems Long-horizon planning and decision-making Preference and goal inference Learning when intervention creates value versus friction Agentic Decision Systems Building agents that reason over customer world models and take actions in real environments. Examples include: Tool use and planning Multi-step reasoning over customer state Autonomous workflow execution Recovery and adaptation under uncertainty Learning from Feedback Loops Developing methods that allow intelligence to improve continuously from real-world outcomes. Examples include: Reinforcement learning from customer and product feedback Reward modeling and preference learning Counterfactual evaluation Credit assignment over long decision horizons Evaluation and Measurement Building evaluation frameworks that predict real-world performance, trust, and customer value. Examples include: Simulated customer environments Longitudinal evaluation Decision quality metrics Safety and reliability benchmarks What we're looking for We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time. Required Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op. Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. Experience conducting independent research and translating ideas into working systems. Fluency in Python and experience with PyTorch, JAX, or similar frameworks. Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work. Nice to have Experience with large language models and agentic systems. Experience with reinforcement learning, reward modeling, or sequential decision-making. Experience with representation learning for structured, temporal, or graph data. Familiarity with large-scale training and production ML systems. Interest in building AI systems that directly affect customer outcomes. What you'll get Direct mentorship from researchers working on the future of proactive intelligence at Block. Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources. Opportunities to publish and contribute to open-source projects. A chance to shape foundational technology that could power the next generation of Block products. Exposure to both scientific research and product deployment, with a clear path from idea to impact. Application Guidelines Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us here with hiring practice or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block. Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

  • Aurora, CO

  • no content