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Label Machine Operator 3rd shift
Dairy Farmers of America, Inc.
Nashville, TN
- $21.25 USD / hour
…troubleshooting and resolving basic to moderate operating issues. Filler operators will be responsible for processing finished or raw materials, while following Good Manufacturing Practices…
Added 1 min ago
Operator II - D Shift Starting at $23/hour
Graham Packaging Company
Altavista, VA
Graham Packaging Company is looking for a Machine Operator based in Altavista, VA. This position is a day shift opportunity for a night shift position working from 7:00 pm to 7:00 am.
Added 2 mins ago
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Lot Driver I - Part Time - ADESA Chandler
ADESA
Chandler, AZ
- $16 USD / hour
- Part-time
…comparable to definitions for Clerical, Administrative, and Machine Operators (including inspection)…
Added 2 mins ago
Tool Shop Technician - Day Shift
Vesuvius USA
OH
9. Occasionally assist operators and maintenance with machine or processing issues.
Added 6 mins ago
Shift Supervisor - Nights
ALPLA, Inc.
Salt Lake City, UT
Monitor machine performance (molding equipment, auxiliaries, automation) and ensure optimal utilization.
Added 9 mins ago
UG
Infrastructure & Engineering Development Program Internship
UnitedHealth Group
Eden Prairie, MN
- $18 to $32 USD / hour
…embedded with a GTS team, sit alongside the technologists and operators who run our services day to day, and are accountable for one visible project they present at the end of the summer.…
Added 11 mins ago
Material Handler - 1st Shift
Creative Foam Corporation
Flint, MI
1. Using a standard stand-up reach truck and/or sit down fork truck, inventory must be moved to machine operators at various work centers.
Added 12 mins ago
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Lot Driver I - Part Time - ADESA Chandler
Carvana
Chandler, AZ
- $16 USD / hour
- Part-time
…comparable to definitions for Clerical, Administrative, and Machine Operators (including inspection)…
Added 12 mins ago
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Lot Driver I - ADESA Fountain
Carvana
Fountain, CO
- $17 to $17.5 USD / hour
…comparable to definitions for Clerical, Administrative, and Machine Operators (including inspection)…
Added 13 mins ago
Set-Up Technician - 2nd shift
HSM Careers
Sheboygan, WI
Respond to machine trouble lights, diagnose issues, and make mechanical adjustments
Added 15 mins ago
Machine Learning Engineer 4 - Manager IC
Capital One
NY · McLean, VA · San Jose, CA
…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…
Added 17 mins ago
VR
Night Lift Operator
Vail Resorts
Leavenworth, WA
- $20 USD / hour
…responsible for the safe operation of a multi-million-dollar machine. You are responsible for the safety and friendly, and efficient travel of our guests and fellow teammates as they…
Added 17 mins ago
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Machine Operators - Hiring NOW
Aerotek
Newport, WA
- $20 to $22 USD / hour
Aerotek is actively hiring Machine Operators for a leading manufacturing company in Newport, WA . If you're dependable, motivated, and looking for a long-term opportunity with career…
Added 17 mins ago
Machine Operator-Advanced Manufacturing
Central Power Systems & Services
Platte City, MO
All Machine Operators begin by learning and operating press brake equipment, developing a strong foundation in precision metal fabrication, machine operation, and quality standards. As…
Added 17 mins ago
BD
Machine Operator Nights
Becton, Dickinson and Company
United States
- $18.6 to $29.8 USD / hour
Operators must effectively cooperate with the others to ensure effective shift transfer and communication.
Added 17 mins ago
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Hardware Installer (Sheet Metal Manufacturing)
Aerotek
Spokane, WA
- $20 to $26.3 USD / hour
Monitor machine performance and maintain tooling and coolant systems
Added 17 mins ago
Data Scientist (Starlink)
SpaceX
Redmond, WA
…tens of millions of users around the globe. You will work with operators, subsystem responsible engineers, software engineers, and network engineers inside the Starlink organization as well…
Added 19 mins ago
PF
Machine Operator - 2nd Shift (3pm - 12am)
Prairie Farms Dairy, Inc.
Lafayette, IN
- $20.24 to $21.24 USD / hour
…benefits, and room to grow? Ice Cream Specialties is hiring Machine Operators / Line Owners to join our 2nd Shift Production Team in…
Added 20 mins ago
BD
Senior Staff Audio Machine Learning Engineer
Boston Dynamics, Inc.
Waltham, MA
- $180,000 to $220,000 USD / year
…with visual, thermal, and VLM/LLM data streams into unified machine health indicators, delivering both clear mechanical diagnoses and recommended corrective actions to plant…
Added 20 mins ago
Laundry Attendant Day Shift
CROWN LINEN LLC
Fairburn, GA
…is no mixed, dirty, or damaged linen before feeding into the machine or hand-folding it. You must maintain a fast pace speed meeting company’s expectations while practicing safety…
Added 21 mins ago
Nighttime Manufacturing Electrician – Paper Converting
Green Bay Converting
Green Bay, WI
…systems on our Perini and Bretting equipment, and work alongside operators and maintenance to cut…
Added 23 mins ago
Fabrication Helper - Weekend Shift
EK Machine
Fall River, WI
Assists other machine operators with fabrication duties.
Added 24 mins ago
PF
Machine Operator - 2nd Shift (3pm - 12am)
Prairie Farms Dairy, Inc.
Lafayette, IN
- $20.24 to $21.24 USD / hour
…benefits, and room to grow? Ice Cream Specialties is hiring Machine Operators / Line Owners to join our 2nd Shift Production Team in…
Added 24 mins ago
Field Service Associate
Pixel Intermediate LLC
Orlando, FL
Mechanical aptitude with ability to perform basic machine repair strongly preferred
Added 27 mins ago
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Maintenance Technician
Lippert
Chicago, IL
- $25 to $30 USD / hour
…using basic hand tools and basic power tools; experience with machine shop equipment preferred; ability to weld or experience with metal fabrication preferred Responsible for…

Capital One

Machine Learning Engineer 4 - Manager IC

NY, United States
McLean, VA, United States
San Jose, CA, United States

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Job details

Posting language: English
Posted: Nov 5, 2026

Original job description

Machine Learning Engineer 4 - Manager 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.

As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One - ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security.

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 or Machine Learning 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 Machine Learning software systems

Preferred Qualifications:

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.
3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.
3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).
3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.
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

San Jose, CA: $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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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).

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