Food

Package Handler - Part Time (Warehouse like)

IMMEDIATE OPENINGS! Come for a job and stay for a career! Federal Express Corporation (FEC) is part of the rapidly growing warehouse and transportation sector that helps keep America, and our economy, moving. Be part of a winning team and workplace community that cares about who you are as an individual, and your safety in the workplace. Perks and Benefits at Federal Express Corporation (FEC): Competitive wages beginning at $21.70  paid weekly for both full and part time opportunities $5,250 tuition reimbursement every year with no lifetime cap! All employees are eligible for this awesome benefit on their first day of employment! Generous paid time off program – work your way up to 5 weeks of PTO a year! Medical, dental and vision benefits after a short waiting period. Flexible scheduling that helps balance your work and personal life. Valuable employee discounts on things like cell phone plans, electronics, cars and restaurants. Free Purple Pathways career development program for all Federal Express Corporation (FEC) employees. Paid parental leave for both moms and dads! Employee networks, and diversity, equity and inclusion programs available for all employees. What you can expect at Federal Express Corporation (FEC): Fast paced and physical warehouse work – why pay for a gym membership when you can get paid while working out? Warehouse duties include loading, unloading, and sorting of packages of various sizes. Part time Federal Express Corporation (FEC) employees work one shift a day; full time Federal Express Corporation (FEC) employees work two shifts. Shift lengths vary based on package volume – generally part time employees work between 3 and 6 hours a day. Full time employees can expect to work between 6 and 10 hours. Overtime paid after 40 hours a week. Pay Range: Starting wage - $21.70-22.70/HR. shift dependent Additional Posting Information: Times listed are possible start times. Shifts will range 4-5 hours from shift start. Minimum 5 shift requirement, and AT LEAST ONE WEEKEND SHIFT REQUIRED on all shifts per wk EEO Statement Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact . Applicants have rights under Federal Employment Laws: Know Your Rights Pay Transparency Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: E-Verify Notice (bilingual) Right to Work Notice (English) / (Spanish)

  • Troutdale, OR

  • no content

Inventory Cycle Counter

Job Summary Medline Industries, LP is a leading healthcare company driven by a simple purpose: Together, we make healthcare run better. We're seeking an Inventory Cycle Counter to join our team and play a vital role in delivering products that healthcare providers depend on every day. The Inventory Control Cycle Counter is responsible for performing daily and scheduled inventory cycle counts to ensure accurate inventory records within the distribution center. The Cycle Counter plays a key role in maintaining inventory accuracy, supporting internal controls, and ensuring compliance with company policies and SOX requirements. If you're a dependable team player who takes pride in quality work and wants to grow with a company that values collaboration, belonging, and results, we'd love to hear from you. Job Description Perform daily cycle counts across assigned zones and locations within the distribution center. Help keep inventory records accurate and organized by following standard procedures. Perform slot checks. Other job duties as assigned. BASIC QUALIFICATIONS Education High School Diploma or equivalent Relevant Work Experience Relevant experience in inventory control and warehouse operations. Ability to operate RF equipment, powered industrial trucks (PIT), and other warehouse tools (or willingness to learn). Physical Requirements: Lift up to 60 pounds. Sit, walk or stand for prolong periods of time. Display specific vision abilities including, close vision, distance vision, depth perception, color vision and ability to adjust focus. Ability to work in hot and cold environments, (32F - 95F). Ability to encompass heights. Frequent bending and kneeling. PREFERRED QUALIFICATIONS Relevant Work Experience 1 year of inventory experience minimum in a warehouse/distribution center or similar facility. Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $20.25 - $29.25 Hourly The actual salary will vary based on applicant's location, education, experience, skills, and abilities. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. For a more comprehensive list of our benefits please click here. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here. Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

  • Uxbridge, MA

  • no content

Staff Research Scientist, Intern - PhD Quantum

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Internship Program offers a 12-week immersive experience where you'll work on impactful projects that advance Visa's mission. As a Visa intern, you'll build meaningful connections, strengthen your communication and business skills, and gain hands-on experience in a dynamic, global environment. You'll have access to interactive workshops and learning sessions designed to build expertise, expand industry knowledge, and elevate your professional skills. You'll not only learn, you'll contribute, collaborate, and innovate. Beyond professional development, enjoy social events that foster community and connection. The program culminates in a final presentation, where you'll share your project achievements and recommendations with Visa leaders-a chance to demonstrate impact and growth. Our Team Visa Research is a research organization part of the company's effort on expanding its technology research capabilities globally. We conduct both applied and fundamental research while engaging with the company's technology and product teams, business partners, academics, and governments, to explore and develop technologies that are critical to the payments industry in the future. About the Quantum Computing and Information Team Our mission is to harness quantum computing and information technologies to enable breakthroughs in computation, security, and data analytics. Our research focuses on: Quantum algorithms and applications Quantum machine learning Quantum optimization Quantum cryptography Tackle complex challenges in fraud detection, risk modeling, secure transactions, and large-scale financial data analysis These efforts empower Visa and its partners to maintain leadership in efficiency, security, and innovation across global payments All Visa roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Currently pursuing a Ph.D. with an expected graduation date in December 2027 or later Preferred Qualifications: Proven research experience in reputed (e.g., publications, patents, or conference presentations) Knowledge in one or more areas: Quantum algorithms and applications, applied quantum physics, quantum machine learning, optimization, quantum secuirty, communications, networking or simulations Proficiency in object-oriented programming (e.g., Python, C++, Java) Strong written and verbal communication skills Demonstrated ability to innovate and solve complex problems Strong teamwork and relationship-building skills Comfort working in dynamic environments and adapting to change Analytical and problem-solving skills with the ability to deliver results collaboratively U.S. APPLICANTS ONLY: The estimated hourly range for a new hire into this position is $66.00 to $73.00 which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. Information for US Applicants For roles located in the US, the estimated hourly rate is $66.00 to $73.00 USD. The hourly rate may vary depending on job-related factors which may include knowledge, skills, experience, and location. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

  • Belmont, CA

  • no content

SW Engineer - Cyber (does not qualify for immigration support)

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Join our dynamic Visa Cybersecurity - Product Security Engineering team, a key component of Visa's Technology organization, where you will play a crucial role in securing and innovating Visa's products and services. Our team is at the forefront of technology, delivering secure, high-quality, and easy-to-use products that enable Visa and our partners to rapidly and efficiently innovate. Cyber Products operationalizes the usage of AI and decision intelligence to ensure ongoing business values. If you want to be in the exciting payment security and AI space, learn fast, and make big impacts, this is an ideal place for you! The role is for a specialist with hands-on generative AI experience, who thrives on solving complex challenges, modernizing legacy code, and embracing cutting-edge technologies like LLMs. We are responsible for designing, developing, and implementing next generation data platforms to drive incremental revenue. Essential Functions: Hands-on Programming Full-stack development contributes to the design of backend, databases and queries, API creations and consumptions, and contributes to frontend UI development. Works independently with minimal insight to develop software that conforms to Visa's high standards of security, quality, performance, resiliency, and compliance. Design, develop, and unit test applications in accordance with established standards. Improving the productivity of the engineering organization by infusing AI into our coding standards and practices. Proven track record of managing and executing multiple high-impact LLM based projects, balancing delivery speed with quality. Able to showcase the productivity improvement by collecting relevant metrics. Participate in design and code review sessions as appropriate. Provide third-level support to business users. Keep up with current and developing engineering trends Design, Architect and Implement high robust system designs as per the growing needs Contribute to the roadmap for the product Work with architects, systems analysts, project managers and other developers to efficiently implement business requirements while applying the latest available tools and technology. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor's degree, OR 3 years of relevant work experience • 6 months - 2 years of hands-on expertise with Java, Spring, Python and related technologies. • Experience in Gen AI, Big data and UI technologies will be an added advantage. • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase. • Skilled in realizing the full potential of LLM-based AI frameworks. Preferred Qualifications • Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related field and 2 years of experience in the job offered or in a software engineer-related occupation. • 6 months - 2 years of hands-on expertise with Java, Spring, Python and related technologies. • Experience in Gen AI, Big data and UI technologies will be an added advantage. • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase. • Highly skilled in realizing the full potential of LLM-based AI frameworks. • Ability to work effectively on multiple concurrent assignments with both AI and non-AI application projects. • Experience working in an Agile and Test-Driven Development environment. • Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable. • Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients. • Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,400.00 to $ 174,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

  • Belmont, CA

  • no content

Accounts Payable Specialist

Keep our mission moving by ensuring the people and partners who support our communities are paid accurately and on time. Schedule- Monday - Friday, 8am - 4pm Remote position open to Missouri residents. Position Summary The Accounts Payable Specialist plays a key role in supporting our nonprofit healthcare organization by managing invoice processing and vendor payments with accuracy, integrity, and attention to detail. This position collaborates closely with vendors and internal teams to resolve payment questions and helps ensure the smooth financial operations that allow us to inspire hope and promote wellness across the rural communities we serve. This is a great opportunity for someone who enjoys detail-oriented work, values accuracy and accountability, and wants to contribute behind the scenes to a mission-driven organization making a meaningful impact in healthcare. Key Responsibilities Process invoices and match them to purchase orders within the accounting system Schedule and prepare vendor payments while monitoring due dates and discount opportunities Resolve invoice, contract, or payment discrepancies in collaboration with vendors and internal staff Ensure invoices receive proper organizational approval prior to payment Post credits, process refunds when applicable, and maintain accurate records Safeguard confidential financial and organizational information Support additional accounting or finance tasks as needed Requirements, Skills, Knowledge and Expertise High School/GED required QUALIFICATION(S): WORK EXPERIENCE/TRAINING/ADDITIONAL REQUIREMENTS At least one (1) to three (3) years in accounts payable experience preferred Knowledge of general accounting principles Ability to operate computerized accounting and spreadsheet programs You'll be a great fit for this role if you: Enjoy working with numbers, systems, and processes that require precision Take pride in being dependable and meeting deadlines Communicate professionally and effectively with vendors and internal teams Are comfortable working independently while contributing to a collaborative finance team Want to support a nonprofit healthcare organization dedicated to strengthening access to care in rural communities

  • Clinton, MO

  • no content

Food Service Aide-RSW

Description: Job Summary: Responsible for maintaining good housekeeping in the kitchen and dining areas. In addition, assists in the serving and preparation of food. Promotes an environment of customer service, hospitality, and student satisfaction. Duties/Responsibilities: Must create and sustain positive working relationships with co-workers. Adheres to all PRH and CSDC policies and procedures, and the Center Operating Procedures. Ensures equipment and assigned work areas are clean and maintained in accordance with state and local codes, CSD, and DOL standards. Assists in the preparation of food. Assists in serving food. Cleans and maintains dining room and kitchen facilities. Operates dish-washing equipment. Cleans and checks service equipment. Fills salt, pepper and napkin dispensers after each meal. Assists in moving and storing supplies. Works within established safety guidelines. Attends required staff training sessions. Performs other duties as assigned. Requirements: Qualifications: Minimum : High School Diploma, GED, or High School Equivalency Diploma. Ability to read and write in English. Preferred : Certificate of completion from a culinary/food service training program. Three months experience in a food service capacity. Serve Safe certification. Knowledge : Individual should have well-defined habits of personal cleanliness and hygiene. Must meet State or local food handling requirements, whichever are more restrictive. Must obtain and maintain CPR/First Aid certificates. PI0468b9db5ff2-37395-41677220

  • Midway, NM

  • no content

Issuing Solutions Growth Marketing Manager

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Marketing Managers are responsible for the planning and implementation of projects that support the marketing function. The role involves working individually or with a team to recommend actions, schedule and plan projects, analyze economic considerations, estimate costs, and manage projects to completion. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Serve as the primary marketing commercialization lead for Visa Value Added Services banking and issuing solutions portfolio in North America, providing market intelligence, customer insights, and strategic recommendations to inform product, GTM, and growth priorities. Drive and deliver regional VAS Growth Marketing programs with a focus in demand generation and market education for Issuing and Risk and Identity Solutions Build marketing programs that generate measurable pipeline and drive account engagement to deepen client relationships and expand solution adoption Collaborate closely with regional sales, product, GTM, and executive leaders across the VAS and Financial Services ecosystem to align marketing programs with business goals, drive net new revenue opportunities, and cross-sell and upsell solutions. Translate Business Unit, Solutions and Product priorities into actionable growth marketing plans, leveraging content and best practices to drive awareness, demand generation, and partner engagement across Issuing, Processing, Core Banking, Loyalty, Digital, and Risk and Identity solutions. Identify market opportunities, competitive trends, and client requirements to deliver effective marketing programs driving revenue creation and pipeline progression. Partner with business stakeholders to deliver sales enablement and value prop messaging. Lead the alignment and execution of key industry and Visa-hosted events to business priorities, including pre-event positioning, onsite activation, and post-event follow-up to maximize client engagement and pipeline growth Content Localization and Development - Drive localization and adaptation of marketing and sales content to meet unique regional and customer needs and develop region-specific materials to support sales and partner conversations. Own measurement and reporting of portfolio marketing performance, tracking pipeline contribution, revenue influence, account engagement, and solution adoption. Leverage data-driven insights to optimize marketing investments, improve business outcomes, and inform portfolio growth decisions. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD Proven ability to engage, influence, and partner with senior business leaders and cross-functional teams. Strong understanding of the financial services audience, including banks, issuers, processors, fintech's, and risk management stakeholders. Executive presence with outstanding written and verbal communication skills with ability to present and influence at all levels. Highly collaborative, energetic, and solutions-oriented, adds value to team and organizational culture. Strong organizational, analytical, and problem-solving skills, data-driven with a focus on measurable business outcomes. Culturally aware, with experience working across global and regional teams. 8 plus years of progressively responsible experience in B2B marketing or communications, preferably within Financial Services, Payments, or Technology sectors. Deep experience in marketing strategy, go-to-market planning, demand generation, and launching new products and solutions. Information for US Applicants For roles located in the US, the estimated salary range for this position is $134,600.00 to $ 215,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

  • Bolinas, CA

  • no content

Sr. Manager, Payment Ecosystem Risk & Compliance

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The team is responsible for protecting the integrity, safety, and trust of the Visa payment ecosystem. The team monitors and enforces risk and compliance programs that identify, investigate, and remediate behaviors that threaten the stability of the network, Visa clients, and end users. These programs span multiple risk domains, including acquirer and issuer monitoring, fraud and risk compliance, integrity programs, and network risk investigations, and include programs such as Rules Compliance, VAMP, VIMP, FRECOP, VIRP, and related ecosystem risk frameworks. Collectively, these programs ensure that ecosystem participants operate in alignment with Visa Rules, program requirements, and applicable laws and regulations. Role Overview This people leadership role is responsible for leading a team of compliance and risk professionals in the execution of ecosystem risk, compliance, monitoring, investigation, remediation, and enforcement programs that protect the integrity of the Visa payment ecosystem and support adherence to Visa International By-Laws, Visa Core Rules, Product and Service Rules, and related policies. The Senior Manager provides strategic and operational leadership for a team of Consultants and Analysts, ensuring the effective delivery of compliance programs, investigations, and enforcement activities while meeting business, operational, and organizational objectives. The role is responsible for identifying and assessing emerging risks, non-compliant activity, and Visa Rules violations; driving data-driven analysis and insights; and overseeing remediation, negotiation, and enforcement efforts that improve client compliance and reduce ecosystem risk. Working closely with Global Risk, PERC, Rules & Compliance, regional teams, Client Services, Account Executives, and external clients, the Senior Manager promotes the consistent application of risk and compliance standards across programs and regions. The role serves as a key advisor on compliance matters, manages sensitive and complex issues, and ensures appropriate escalation of significant risks to minimize operational, financial, brand, and reputational exposure to Visa. The Senior Manager leads multiple compliance initiatives and programs simultaneously, leveraging reporting, analytics, and operational insights to measure effectiveness, improve performance, and enhance enforcement strategies. The role contributes to the evolution of compliance and ecosystem risk programs through process improvement, automation, and operational excellence initiatives that increase efficiency, consistency, and scalability. In addition to program leadership, the role is responsible for talent development, coaching, performance management, and fostering a high-performing, collaborative team culture. Operating with moderate autonomy, the Senior Manager balances strategic priorities with operational execution, influences outcomes through stakeholder engagement and negotiation, and develops organizational capabilities that support Visa's evolving risk, compliance, and ecosystem protection objectives. Key Responsibilities Lead a team of compliance and risk professionals responsible for the execution of investigations, monitoring, remediation, and enforcement activities across Visa Rules and ecosystem risk programs, ensuring consistent delivery of business, operational, and risk management objectives. Oversee complex investigations, compliance reviews, and client engagements, providing direction on significant risk matters, enforcement actions, corrective action plans, and escalation decisions to mitigate risk and protect ecosystem integrity. Drive compliance outcomes through proactive client engagement, negotiation, remediation, and enforcement strategies, ensuring issues are resolved effectively and in accordance with Visa policies and program requirements. Manage program performance through data-driven insights, reporting, and analytics, identifying trends, emerging risks, and improvement opportunities to enhance program effectiveness, operational efficiency, and business outcomes. Lead multiple compliance programs, investigations, and strategic initiatives simultaneously, balancing priorities, allocating resources, and ensuring adherence to service, quality, and regulatory standards. Serve as a key advisor to internal and external stakeholders by providing expert guidance on Visa Rules, compliance requirements, risk management practices, and enforcement approaches. Build and maintain strong relationships with Clients, Account Executives, Client Services, Risk, Rules & Compliance, Legal, and regional stakeholders to drive alignment, influence outcomes, and support effective program execution. Contribute to the development and execution of compliance strategies, annual operating plans, program enhancements, and operational improvements that strengthen Visa's ecosystem protection and risk management capabilities. Evaluate compliance trends, enforcement outcomes, industry developments, and emerging risks to inform strategic priorities and drive continuous improvement across programs. Lead, coach, and develop a high-performing team, providing performance management, career development, and subject matter guidance while fostering a culture of accountability, collaboration, and continuous improvement. Support organizational change, process optimization, automation, and technology-enabled initiatives that improve scalability, effectiveness, and consistency across compliance and ecosystem risk programs. Partner with senior leadership to escalate and resolve complex business, regulatory, operational, and reputational risks while contributing to broader CIE and organizational objectives. This role is a Hybrid position to be based in our Atlanta, GA office location with expectations of being in the office a minimum of 3 Days per week. Expectations of in office days will be aligned with the selected candidate and hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD 8 years of experience in payments, financial services, banking, risk management, compliance, investigations, audit, consulting, or a related field, including experience leading teams, programs, or complex initiatives. Experience managing compliance, risk, investigative, enforcement, or operational programs within regulated or highly controlled environments. Demonstrated ability to assess risk, exercise sound judgment, and drive resolution of complex business, operational, and regulatory issues. Proven experience leading cross-functional initiatives, influencing stakeholders, and delivering results in a global, matrixed organization. Strong analytical, investigative, and problem-solving skills, with the ability to leverage data and insights to identify trends, assess risk, and develop actionable recommendations. Strong written, verbal, and presentation skills, including the ability to communicate complex technical, regulatory, and business concepts to a broad range of audiences. Demonstrated people leadership experience, including coaching, talent development, performance management, and building high-performing teams. Strong program and operational management capabilities, including prioritization, process optimization, stakeholder alignment, and management of multiple initiatives simultaneously. Experience utilizing reporting, analytics, and productivity tools, including Microsoft Excel and PowerPoint, to support business decision-making. Ability to build effective relationships and drive collaboration across functions, regions, and cultures. Fluency in English required. Preferred Qualifications 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Deep knowledge of the payments ecosystem, including card payments, ACH, push payments, network operating rules, compliance frameworks, and regulatory requirements. Visa experience or experience with a payment network, financial institution, regulatory body, consulting firm, or other financial services organization; knowledge of Visa Rules strongly preferred. Proven ability to influence and negotiate with senior internal and external stakeholders, including clients and business leaders. Experience leading large-scale compliance, risk, investigations, enforcement, or ecosystem protection programs across multiple regions and cultures. Demonstrated success managing competing stakeholder interests and driving alignment across complex cross-functional initiatives. Experience driving operational improvements, automation, analytics, and technology-enabled solutions that improve scalability, efficiency, and program effectiveness. Strong research, analytical, and data-driven decision-making capabilities, including experience working with large datasets and visualization tools such as Tableau or Power BI. Strong understanding of emerging payment industry risks . click apply for full job details

  • Lenox Square Finance, GA

  • no content

Shuttle Bus Driver (Class A, B, or C CDL)

Must have a Class A, B, or C CDL with passenger endorsement. Green Way Shuttles is a professional student transportation company. We are currently hiring full-time and part-time Shuttle Bus Drivers at Binghamton University! You will be responsible for transporting Binghamton University students, fueling the bus, and ensuring the bus is properly maintained. Pay: $21.00-$23.00/hour Available Shifts: Monday - Friday, (Six 1/2) hours a day from 7:30 PM until 12:30 AM Backup driver transporting students from the Student Complex to Binghamton University. Click "Apply Now" to get started today for more information We are an Equal Opportunity Employer.

  • Vestal Gardens, NY

  • no content

Machine Learning Engineer 5

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5 years of experience optimizing ML algorithms, configurations, and infrastructure 5 years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5 years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5 years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Capitol, VA

  • no content

Sr. Manager, VAS Business Strategy & Planning

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The role will support the Senior Director of VAS Business Strategy & Planning across a range of strategy, operations, and planning activities. Time spent on these areas will shift based on business needs. The Senior Manager will own projects / workstreams of key strategic initiatives (e.g., long-range strategy development, portfolio diagnostics, client and leadership forums) and ensure the Value-Added Services leadership team is equipped with the data and insights to meet growth imperatives. Strong candidates are versatile team players who learn fast, have high EQ and IQ, and carry a demonstrated record of driving workstreams while managing a multitude of senior stakeholders. What we expect of you day-to-day: Lead workstreams / projects related to multi-year strategy development and assessments of significant opportunities - including potential acquisitions - and threats. Manage day-to-day project / workstream activities to meet milestones and timelines. Structure and solve business problems by collaborating with a range of internal stakeholders. Organize and prioritize critical information, issues, and data to facilitate efficient decision making. Build out unique, creative, and impactful recommendations. Communicate recommendations to senior management, other executive, functional, or regional teams and management in a clear, concise, and impactful way. Design and manage major planning activities, which may include annual strategy development and objective and key results (OKR) formulation, ongoing business performance and resource allocation checkpoints, or various other activities such as reporting. Support the creation of materials for various meetings such as Board meetings, executive forums, and external client councils/forums. Proactively manage upwards to pre-empt critical business opportunities and challenges. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD), with 3 years of experience in management consulting or corporate strategy Extensive experience in Payments and Financial Services Structured thinker with deep analytical skills and the ability to translate complex data into actionable insights. Outstanding collaboration, teamwork attitude, and ability to learn. Strong executive facing communication skills Advanced visual design skills that enable simple, elegant storytelling to internal and external audiences. Strong project management capabilities, with demonstrated success leading initiatives and delivering results in a fast-paced environment. Demonstrated ability to leverage AI to improve strategic analysis and accelerate insight generation. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

  • Bolinas, CA

  • no content

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You’ll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3 years of experience optimizing ML algorithms, configurations, and infrastructure 3 years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3 years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3 years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3 years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1 years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

  • Pimmit, VA

  • no content