Automobile

2nd Shift Robotic Welder (Mayville)

Metalcraft of Mayville Metalcraft of Mayville is an Equal Opportunity Employer:Minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity 2nd Shift Robotic Welder (Mayville) US-WI-Mayville Job ID: 2026-4959 of Openings: 4 Category: Manufacturing Metalcraft of Mayville, Inc. Overview Positions available on 2nd shift. Reporting to the Robotic Welding Manager, the Robotic Welder is primarily responsible for operating one or more weld machines to fabricate metal parts or assemblies to specifications applying to basic knowledge of welding theory on production basis. Responsibilities Lifts work piece manually or using hoist and secures work piece in fixture or loads automatic feeding device. Calculates and sets controls to regulate machine factors, such as wire feed speed, amperage, polarity, type of gas, and type of weld rod. Inspects and measures machined work pieces to verify conformance to specifications. Unload welded frames from robotic welder and place on appropriate containers. Clamp, hold, tack-weld, heat-bend, grind or bolt component parts to obtain required configurations and positions for welding. Remove rough spots from workpieces, using portable grinders, hand files, or scrapers. Chip or grind off excess weld, slag, or spatter, using hand scrapers or power chippers, portable grinders, or arc-cutting equipment. Weld components in flat, vertical, or overhead positions. Performs all functions involved in operation of robotic welder, including: programming, touch point, and operations corrections. Maintains accurate counts of parts; attaches labels or tags to finished part containers identifying customer, part number, quantity and shop order information. Performs basic MIG and TIG welding techniques as needed. Maintains company quality, efficiency, and productivity standards. Reads job specifications (e.g. blueprints, quality control plans and/or traveler notes) to determine type of welding and material requirements. Examines finished work pieces to verify conformance with specifications according to operator inspection sheet, quality control plans and/or customer notes using instruments such as gauges. Maintains the work area and equipment in a clean and orderly condition and follows prescribed safety regulations. May perform other related duties or work at different workstations as production needs require. Qualifications Successful completion of an internal welding test. Previous knowledge of fixtures and weld set up parameters (amps, volts, etc.) Basic understanding of computers and ability to perform computer functions as they pertain to the job. Ability to read and interpret documents such as blueprints, welding symbols, operating and maintenance instructions and procedure manuals. Demonstrated detail orientation, self motivation skills and ability to multi-task Demonstrated ability to communicate effectively in both verbal and written formats Must have excellent written and verbal communication skills. Competent at basic dimensional measuring and able to quickly learn the use of precision measurement tools. Demonstrated competency in basic shop math. Ability to work with various types of metal forming constraints with guidance. Previous experience with overhead crane use is desired. Demonstrated ability to effectively implement or respond to change. Work in an efficient and timely manner Aptitude to take orders and execute the same efficiently Demonstrated detail orientation, self motivation skills and ability to multi-task Compensation details: 7.24-7.25 PI9e665ac0eb84-13336-41614458

  • Mayville, WI

  • no content

Behavior Consultant – Master’s Level | Growth Opportunity- Indianapolis, IN area

Behavior Consultant – Master’s Level | Growth Opportunity- Indianapolis, IN area Location Remote - Indianapolis, IN, United States Base Pay $26.00 - $27.00 / Hour Job Category behavior specialist , behavior therapist, behavior health Industry human services, social services, behavioral health Employee Type PT Non-Exempt Required Degree Masters Travel 50% Manage Others No Contact information Name Sarah Lankford Email [email protected] Description Build your behavioral health career while making a meaningful difference in the lives of individuals with intellectual and developmental disabilities. Are you a master's-level professional with experience in human services, behavioral health, social work, psychology, special education, or a related field? Are you ready to take the next step in your career and expand your skills in behavior assessment, support planning, and consultation? AccessAbilities is seeking an Associate Behavior Consultant to join our growing Indianapolis-area team to manage an established caseload. Whether you already have experience providing behavioral or disability services or are ready to develop more specialized clinical expertise, this role offers the opportunity to build on your existing skills while receiving training and mentorship from experienced Behavior Consultants. You'll work directly with individuals, families, caregivers, and interdisciplinary teams while developing the competencies needed to advance into an Intermediate Behavior Consultant role. If you're looking for meaningful work, professional growth, greater responsibility, and an opportunity to build a long-term career in behavioral services, we'd love to hear from you. What You'll Do Provide Meaningful Behavioral Support Work with individuals with intellectual and developmental disabilities to promote independence, inclusion, self-determination, and quality of life. Conduct behavioral observations and assist with assessment and data collection. Apply behavior support strategies in homes, workplaces, and community settings. Collaborate with individuals, families, caregivers, Direct Support Professionals, and interdisciplinary team members. Assist with caregiver and staff training and consultation under clinical supervision. Provide direct support when appropriate to better understand individual needs, environments, and behavioral challenges. Expand Your Clinical Expertise Depending on your existing experience and demonstrated competencies, you will receive individualized training and opportunities to: Develop and strengthen skills in behavior assessment, consultation, and treatment planning. Administer and utilize behavioral assessment tools, including Functional Behavior Assessments (FBAs) and other evidence-based practices. Develop and implement Behavior Support Plans (BSPs) . Strengthen your understanding of behavior consultation services, Medicaid requirements, documentation standards, and agency protocols. Shadow and collaborate with experienced Behavior Consultants. Gradually assume responsibility for a partial caseload as competencies are demonstrated. Candidates who bring relevant behavioral or human-services experience can build upon their existing skills and progress as competencies are demonstrated. Develop as a Behavioral Health Professional Maintain accurate, timely, and compliant clinical documentation. Participate in team meetings, case reviews, Human Rights Committee meetings, and professional development. Strengthen consultation, communication, problem-solving, and ethical decision-making skills. Receive mentorship and feedback from experienced professionals. Build the competencies needed for advancement within our Behavior Management team. Requirements What We're Looking For Required Qualifications Master's degree in: Clinical Psychology Counseling Psychology School Psychology Social Work Special Education Another applicable health-service area of psychology or counseling At least one year of experience in human services, behavioral health, developmental disabilities, mental health, social services, or a related setting. Strong written and verbal communication skills. Strong organizational and time-management skills. Ability to work independently while collaborating effectively with a team. Commitment to person-centered, ethical, high-quality services. Experience That Will Help You Stand Out We especially encourage candidates with experience in one or more of the following areas to apply: Intellectual and developmental disabilities (I/DD) Behavioral health or behavior support services Applied Behavior Analysis (ABA) principles Functional Behavior Assessments or behavior support planning Case management or care coordination Direct support or community-based services Medicaid Waiver services Training or coaching caregivers and direct support staff Electronic clinical documentation You do not need to have experience in every area listed above. We are looking for someone who brings a strong foundation, is eager to continue developing professionally, and is committed to providing excellent services. Summary A Clear Path for Career Growth This isn't intended to be a position where you remain an Associate indefinitely. The Associate Behavior Consultant role is a developmental pathway designed to prepare qualified professionals to advance to an Intermediate Behavior Consultant position as required competencies are achieved. Your previous experience matters. Training and development will be tailored to your existing knowledge and skills while ensuring you develop the competencies necessary to succeed in behavior consultation services. Why Join AccessAbilities? Meaningful Work: Help individuals develop skills, overcome barriers, increase independence, and participate more fully in their communities. Career Advancement: Build toward the next level of your behavioral health career through a defined developmental pathway. Training & Mentorship: Learn alongside experienced Behavior Consultants who can support your professional development. Build on Your Experience: Candidates with relevant experience have the opportunity to apply their existing skills while expanding their clinical expertise. Professional Development: Continue growing through training, case consultation, and hands-on experience. Variety: Work with different individuals and support teams across homes, workplaces, and community settings. Collaborative Team: Work alongside professionals committed to quality, person-centered services and positive outcomes. Benefits Eligible employees may receive: Paid Time Off (PTO) Company-paid life insurance 401(k) with company match Additional benefits based on employment status Work Environment & Schedule This is a community-based position serving individuals throughout the Indianapolis, Indiana area . Services may take place in: Individuals' homes Community settings Employment settings Other locations based on individual needs Travel between service locations throughout the Indianapolis area is required. The position may also involve: Evening and occasional weekend availability based on individual and service needs Navigating stairs, ramps, homes, workplaces, and community environments Lifting, moving, or assisting with up to 50 pounds Working safely and professionally in situations involving behavioral challenges Ready for Your Next Step? If you have a master's degree and experience helping othersand you're ready to develop specialized behavioral consultation skills while making a meaningful impactwe want to hear from you. Bring the experience you already have. We'll help you build what's next. Apply today to join the AccessAbilities Behavior Support Services team. AccessAbilities, Inc. is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. Compensation details: 26-27 Hourly Wage PIa99eca5b5603-13336-41620275

  • Williams Creek, IN

  • no content

MEDICAL ASSISTANT

North Austin Pediatrics is seeking full time or part time Medical Assistants to join our Cedar Park and Leander office locations. We hope that you will embrace our mission to provide a personal approach to our patients while delivering the high-quality care that we are known for. Are you an empathetic and friendly person who is passionate about health and wellness? Do you enjoy creating a welcoming atmosphere for your clients? You might be just the person we are looking for! Since 1997 we pride ourselves on offering a caring, personalized approach while being committed to the highest quality of care that makes the office a welcoming environment for everyone. We have been passionate about serving the Austin area with offices added in Cedar Park and Leander. The ideal candidate will work in a clinical environment assisting providers in treating patients in the clinic. They will serve as the first line of patient support in preparation of the patient's visit with the Provider, whether ill or well. Core Duties: · Monitor patient flow from arrival through rooming patients and checking vitals · Assisting providers in a clinical setting by performing lab swabs and administering vaccinations and other procedures · Perform routine laboratory work in the office · Clean and prepare exam rooms for the next patient by sterilizing instruments and restocking exam room supplies · Calling patients with routine lab results · Complete lab requisitions and prepare specimens for testing · Review laboratory reports in charts after physician reviews · Additional administrative duties related to patient care Skills: · Ability to employ tact, diplomacy, and compassion in addressing issues and patient needs is required · Excellent communication skills - written, verbal and interpersonal -are required · Ability to relate to children · Must possess excellent time management skills · Well Organized and punctual Hours: · Full Time -Monday thru Friday shifts from 7:40am -5:15pm, with one Saturday morning per 4-6 weeks from 7:40am-12:00 pm after training achieved. · Part Time —would prefer Monday, Wednesday, Friday all day schedule , however willing to work with applicant, as long as could work 16-24 hours weekly and after training achieved, with one Saturday morning per 4-6 weeks from 7:40am-12:00 pm. Benefits for Full-Time positions: · Health, dental, vision insurance · Short term disability insurance · 401k · Paid benefit time This job ad is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. North Austin Pediatrics is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States. Please visit our website to learn more about the work that we do! The Medical Assistant candidate will be in a pediatric office setting frequently with patients and the public. Our Medical Assistant candidates must be organized, detail-oriented, able to multi-task and run a provider on their own and must have the ability to relate to children. The shift availability for this role is Monday thru Friday shifts from 7:40am -5:15pm, with one Saturday morning per 4-6 weeks from 7:40am-12:00 pm. Clinical courses, graduation from accredited medical assistant school, certification, or previous clinical experience preferred but not required. Compensation details: 18-20 Hourly Wage PI9129e554b97b-13336-41620951

  • Cedar Park, TX

  • no content

2nd Shift Painter (Mayville)

Metalcraft of Mayville Metalcraft of Mayville is an Equal Opportunity Employer:Minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity 2nd Shift Painter (Mayville) US-WI-Mayville Job ID: 2026-4960 of Openings: 1 Category: Manufacturing Metalcraft of Mayville, Inc. Overview Reporting to the Paint Supervisor, the Painter is primarily responsible for applying paint on metal fabricated parts. May be required to help in other production operations within the department. This is a skilled position requiring attention to detail, focus on safety and a willingness to learn a trade. We are willing to train a candidate that is looking for this type of challenge. Good housekeeping and organizational skills are an essential part of this role. Responsibilities Apply paint with manual powder gun application Perform color changes on application equipment. Willing to advance skills throughout the paint process. Good housekeeping and organization skills are needed for this assignment. Focus on quality parts but improving the paint process and inspection. Ensure compliance with corporate and plant safety standards. Other duties as assigned. Qualifications Must have excellent written and verbal communication skills. Ability to efficiently work in a team and coordinate work with other departments. Basic Computer Knowledge. High school degree, diploma or a GED equivalent qualification from is accredited institution. Demonstrated detail orientation, self-motivation skills and ability to multi-task. Compensation details: 7.24-7.25 PI679c5182d43f-13336-41614457

  • Mayville, WI

  • no content

Food Service Aide

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: Adheres to all policies and 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. Operates dish-washing equipment. Cleans service equipment Fills salt, pepper and napkin dispensers after each meal. 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. Physical Requirements: Frequently Standing Walking Seeing Hearing Speaking Driving Occasionally Sitting Bending Stooping Squatting Flexibility Seldom Climbing Lifting 50 pounds Carrying Kneeling Pushing/Pulling Running Environmental Demands: Equipment: Ability to operate office equipment Work Alone: Occasionally works alone Work With Others: 85% of time spent working and interacting with team and other departments Reading: Ability to read at a college level Writing: Ability to write at a college level Compensation details: 17.91-17.92 Hourly Wage PI245e589ff5fd-13336-41574054

  • Troutdale, OR

  • no content

Apprentice Estimator

Apprentice Estimator location: SALT LAKE CITY, UT, US, 84116 | AMERICAN FORK, UT, US, 84003 | OGDEN, UT, US, 84401 | DRAPER, UT, US, 84020 | TOOELE, UT, US, 84074 | PARK CITY, UT, US, 84098 Company: PacifiCorp Power Your Greatness PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability inclusion and belonging. Responsibilities The apprenticeship is a 42-month program to train and test to become a Journeyman Estimator. There may be opportunities available in several Utah locations, including American Fork, Park City, Salt Lake City, Draper, Tooele, and Ogden. During the apprenticeship and while under the guidance of a journeyman estimator, you will represent the company when meeting with customers to determine customer load requirements and advise customers of the company's service requirements. Gain a basic knowledge of available marketing programs and other associated company programs to serve the customer's needs. Become qualified to perform all estimating functions related to building, re-building and maintaining company electric facilities. Establish basic knowledge of electrical theory and practical and detailed knowledge of construction specifications, electrical codes, rates and tariff policies. Meet with new customers, document correspondence and work assignments per Customer Guarantees procedures, prepare right-of-way easements, make field surveys; process crossing permits, construction design, expenditure requisitions and supporting documentation. Assist in load studies, construction planning, budget preparation and other duties as assigned. Requirements Must be at least 18 years of age. A high school diploma, GED or equivalent combination of education and experience. Possess a current Driver's License. Must have received a passing score of 5 or higher on the NJATC examination. Must perform a skills evaluation, consisting of both computer and written assessments, to be administered by PacifiCorp. Individuals who pass the skills evaluation must also successfully pass the interview and rating phase. Once selected for the candidate list, applicants must pass a company-paid physical, drug screen and background check, which is processed after a job offer is extended and accepted. This position requires a post-offer, pre-placement physical capacity screening, conducted by a licensed physical therapist, to assure the candidate meets the physical demands of the job. The screening will assess only the identified physical demands of the job being applied for. Physical Demands Lifting in excess of 25 lbs from floor to waist and waist to overhead. Carrying in excess of 25 lbs with both hands. Pushing and pulling in excess of 100 lbs of exertion force. Sustained, awkward positions/postures including bending and twisting at the waist and neck Reaching forward, to the side, across the body and overhead. Forceful grip and pinch; manipulation of small objects. Balancing on one or both legs during dynamic activities. Manipulation of large objects during activities requiring balance and sustained awkward postures. Benefits At PacifiCorp, we understand that living a healthy lifestyle isn’t just about your physical health — your mental, financial, and social wellbeing also play an important role. That’s why we offer a wide range of benefits designed to help you live a more balanced lifestyle. Our Benefits include: Medical, dental, and vision insurance 401k with match fixed contributions, including a Roth and saving option. For union employees, matching contributions vary by union. For nonunion, PacifiCorp makes a fixed contribution equal to 4% of your eligible pay each year for new hires. In addition, PacifiCorp matches 100% of the first 6% you contribute. Life insurance Additional voluntary benefits, including pet insurance Tuition Assistance Mass Transit Pass for employees in our Portland and Salt Lake City Offices. Work Life Balance: Generous Paid Time Off (PTO) - Time off varies by employee type (Union or Non-Union) Paid short-term disability leave and long-term disability insurance Paid Parental Leave Paid Bereavement Leave Employee Assistance Program supporting mental and emotional wellbeing For more information, please visit: https://careers.pacificorp.com/content/New-Benefits-Page/?locale=en_US Additional Information Req Id: 115065 Company Code: PacifiCorp PM25 Primary Locations in UT: American Fork, Park City, Salt Lake City, Draper, Tooele, Ogden Department: Power Delivery Schedule: FULL TIME, 100% onsite Personnel Subarea: IBEW Local 57 PD Hiring Range: $42.69 Employees must be able to perform the essential functions of the position with or without accommodation. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. Nearest Major Market: Salt Lake City Career Segment: Power Systems, Electrical, Estimator, Apprentice, Energy, Engineering, Finance, Entry Level Compensation details: 42.69-42.69 Hourly Wage PI1eca40db523a-13336-41620310

  • Salt Lake City, UT

  • no content

Journeyman Lineman Serviceman

Journeyman Lineman Serviceman location: DRAPER, UT, US, 84020 Company: PacifiCorp Power Your Greatness PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability, inclusion and belonging. Responsibilities Construct, maintain and repair Company power lines and distribution systems, both overhead and underground, from point of generation to the customer's premises to insure continuity of electric service in a safe and efficient manner. Receives work direction and review from Crew Supervisor, Foreman, Dispatcher, District Manager, or other line supervisors. Construct, install, maintain and repair all transmission and distribution electrical systems and associated equipment, both overhead and underground, for the reliable and safe transmission and distribution of electrical service to the customer. Operate heavy equipment such as line truck, backhoe, forklift, trencher, overhead cranes, and wire pulling equipment in the building of new lines or distribution systems and/or maintaining existing electric systems or services. Work with blasting and explosive materials and devices. Climb poles to construct, repair, or maintain electric line equipment or string, splice, and sag wire on live or dead circuits. Troubleshoot, repair, and restore electric service due to line faults, isolated customer outages, and other emergency outages caused by storms, floods, and accidents. Train and instruct apprentices in all phases of line work, proper use of tools and operating and maintaining equipment in accordance to safety rules, electrical code, and regulations. Perform switching and other mechanical duties in substations as required. Install and maintain street light systems. Patrol and inspect substations, transmission and distribution lines and equipment, and make a report of findings. Test electrical load with special test equipment on primary and secondary circuits and make corrections as necessary to maintain proper voltages. Make a complete record of mileage reports, trouble orders and work performed; time sheets, material reports, line patrol reports and others as required. May be required to relieve the working Foreman or Crew Supervisor in their absence. The typical duties described herein represent a major portion of the job. Other similar duties may be assigned. When management determines that it is efficient to do so, employees in this classification may be assigned duties of less complexity. Requirements A high school diploma, GED or proof of equivalent Journeyman Lineman experience which includes completion of a formal training program for a Journeyman Lineman. Must meet examining board review of skills and experience and will be required to pass testing through Rocky Mountain Power. Candidate must have hot stick training and experience. Must have a Class A Commercial Driver's License. Physical Demands Require lifting in excess of 75 lbs from floor to waist and waist to overhead. Carrying in excess of 75 lbs with both hands. Pushing and pulling in excess of 100 lbs of exertional force. Sustained, awkward positions/postures including bending and twisting at the waist and neck; reaching forward, to the side, across the body and overhead. Forceful grip and pinch; manipulation of small objects. Balancing on one or both legs during dynamic activities. Manipulation of large objects during activities requiring balance and sustained awkward postures. This position requires a post-offer, pre-placement physical capacity screening, conducted by a licensed physical therapist, to assure the candidate meets the physical demands of the job. The screening will assess only the identified physical demands of the job being applied for. Benefits At PacifiCorp, we understand that living a healthy lifestyle isn’t just about your physical health — your mental, financial, and social wellbeing also play an important role. That’s why we offer a wide range of benefits designed to help you live a more balanced lifestyle. Our Benefits include: Medical, dental, and vision insurance 401k with match fixed contributions, including a Roth and saving option. For union employees, matching contributions vary by union. For nonunion, PacifiCorp makes a fixed contribution equal to 4% of your eligible pay each year for new hires. In addition, PacifiCorp matches 100% of the first 6% you contribute. Life insurance Additional voluntary benefits, including pet insurance Tuition Assistance Mass Transit Pass for employees in our Portland and Salt Lake City Offices. Work Life Balance: Generous Paid Time Off (PTO) - Time off varies by employee type (Union or Non-Union) Paid short-term disability leave and long-term disability insurance Paid Parental Leave Paid Bereavement Leave Employee Assistance Program supporting mental and emotional wellbeing For more information, please visit: https://careers.pacificorp.com/content/New-Benefits-Page/?locale=en_US Additional Information Primary Location: DRAPER, UT Company Code: PacifiCorp PM25 Department: Power Delivery Schedule: FULL TIME, 100% onsite Personnel Subarea: IBEW Local 57 PD Hiring Range: $59.76 Employees must be able to perform the essential functions of the position with or without accommodation. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. Nearest Major Market: Salt Lake City Career Segment: Power Systems, Electrical, Energy, Engineering Compensation details: 59.76-59.76 Hourly Wage PI7a1a4775a6a8-13336-41620311

  • Salt Lake City, UT

  • no content

Safety Coordinator

The future. It’s on you. You & Golden Aluminum. We are a continuous casting aluminum rolling mill who established operations in 1984 and is located in Fort Lupton Colorado, 35 miles north of downtown Denver. We care about our environment, our people, and our community. We’re honored to be selected by the Department of Energy to receive up to $22.3 million in investment supporting our Nexcast Mini Mill and other breakthrough projects which will steer the aluminum industry toward a greener, decarbonized future. Job Summary: As Safety Coordinator you will train employees on EHS policies and practices, conduct regular inspections, generate health and safety assessment reports and ensure that all guidelines and regulations are followed. Specific duties include but are not limited to: · Interacting with multiple levels of employees to define and execute EHS goals and objectives. · Training employees in both formal and informal settings on EHS policies and best practices. · Conducting inspections, risk assessments, and identifying hazards and abnormal conditions. · Providing solutions and intervention strategies for potential EHS hazards. · Monitoring operational processes and employee engagement activities. · Generating assessment documentation; incident, accident and environmental reporting; and safety manuals. · Reporting findings, updates and other communications to management as well as applicable regulatory agencies. · Ongoing personal enrichment to stay abreast of the latest EHS trends, policies, regulations and best practices and using gained knowledge to continue to improve EHS metrics. Bachelor’s degree in environmental engineering, industrial engineering, safety management or similar program. Minimum of two years’ experience as an EHS professional in a manufacturing environment preferably in metals manufacturing Detailed knowledge of relevant regulations such as OSHA, EPA, ANSI, and Colorado Department of Health and Environment. Ability to lead and motivate teams to reach a common goal. Proficiency in Microsoft programs including Word, Excel and Powerpoint. Previous experience with Velocity, Intellaquest or other similar programs highly beneficial. Strong leadership and training abilities. Excellent verbal and written communication skills. High level of attention to detail and problem-solving abilities. Strong organizational and time management skills. Ability to demonstrate a sense of urgency when responding to situations. Demonstrated ability to readily adapt to a changing environment Capable of working the days/hours necessary to support a facility that operates 24/7. Ability to spend 75% of time on the plant floor including walking, standing in varying temperatures as well as climbing, bending and stooping. Benefits: · Competitive Wage and Profit-sharing plan · 401k company match · Medical, dental and vision coverage · Health Savings Account with company contributions · Tuition and gym membership reimbursement · Much more! Compensation: $85,000 Because Golden Aluminum thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity. PId2dbdbc0da15-13336-41620527

  • Fort Lupton, CO

  • no content

Machine Learning Engineer 5 (IC)

Machine Learning Engineer 5 (IC) 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/ML 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 ML 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. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, 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).

  • Prince, NY

  • no content

AI Engineer 5 (GenAI Platform, Agentic Infrastructure)

AI Engineer 5 (GenAI Platform, Agentic Infrastructure) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI 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).

  • Prince, 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/ML 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 ML 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 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).

  • Prince, NY

  • no content

Applied Researcher 4 (AI Foundations, VLM)

Applied Researcher 4 (AI Foundations, VLM) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You’ll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B parameters, 500B tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks Experience designing controlled experiments and documenting reproducibility results for internal or public research 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4 McLean, VA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 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