851 matching jobs for “Machine Learning Engineer 4”

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Capital One Financial

Senior Manager, Data Science - Model Risk Office

Chicago, Illinois, United States +2 locations

… a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities …

Added Oct 27, 2026

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Capital One Financial

Director, Data Science

Toronto, Ontario, Canada

… part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in AI and machine learning technologies and operating across billions of customer records to unlock the big opportunities …

Added Oct 27, 2026

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Capital One Financial

Director, Data Science

McLean, Virginia, United States +4 locations

Added Oct 27, 2026

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Capital One Financial

Director, Data Science

McLean, Virginia, United States +4 locations

Added Oct 27, 2026

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KLA

Engr, Cust Supp 3

Hefei, Anhui, China 2 postings

… accountability for customer satisfaction with service. 3. Assures operational quality of system equipment. 4. Coordinates actions with customers to minimize down time. 5. Engage, communicate and co-work with Product …

Added Oct 22, 2026

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Nvidia

Senior Manager, Software Engineering - Robotics Manipulation

Santa Clara, California, United States +5 locations

… most consequential problems in robotics today. You will grow and mentor a team of world-class robotics and machine-learning engineers, set a bold technical direction, and partner deeply with the robot-arm and …

Added Oct 31, 2026

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KLA

Engr, Cust Supp 1

Cheongju-si, North Chungcheong, South Korea

… system level problems (which have multiple causes and for which no standard procedures exist) are based on engineer’s technical knowledge, education, training and certification. Preferred Qualifications Basic knowledge of …

Added Nov 4, 2026

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Stanley Black & Decker

Toolcrib Attendant - 1st shift, 7:00am - 3:00pm, $20.89 hourly + **Sign-on bonus*

Decorah, IA, United States

Full time
Regular

… shavers, etc., are stored properly in the toolcrib by placing tooling in the correct bin. 2. Ensures all machine repair parts are properly stored in the toolcrib. Ensures that all tools are properly labeled with bar code …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - Bureau Data Strategy

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Visa

Director, Data Engineering

Bengaluru, Karnataka, India

… role oversees the integration of structured and unstructured data sources to support advanced analytics, machine learning, and AI initiatives, and champions new tools and technologies to improve productivity, …

Added Oct 27, 2026

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Capital One Financial

Staff Applied Researcher

San Francisco, California, United States +4 locations

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 …

Added Oct 27, 2026

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Applied Materials

C++ Developer

Mumbai, Maharashtra, India

… solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied …

Added Oct 27, 2026

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Caterpillar

2027 Summer Corporate Intern - Engineering

Mossville, Illinois +25 locations

Pay posted by employer$25–$43

… work within their teams. Interns will have assignments that provide them with experience and significant learning opportunities. In addition to this work, Interns can network with management throughout the company to …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - Model Risk Office

McLean, Virginia, United States +2 locations

Added Oct 27, 2026

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The Cigna Group

Data Science Lead Analyst - Cigna Healthcare

IND Bengaluru

Full time
Regular

… stakeholders and the team) to ensure continuous improvement with team Participate and contribute in learning forums and sharing knowledge with wider team Experience and education required 4+ years’ experience in a …

Added Oct 16, 2026

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Capital One Financial

Senior Manager, Data Scientist - Bank Customer Protection Agentic Claims

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Nvidia

Engineering Manager, DRIVE OS Communication Infrastructure

Santa Clara, California, United States

… artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming and visualization. We give automakers, tier-1 suppliers, automotive …

Added Oct 31, 2026

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Nvidia

HPC Middleware Developer

Santa Clara, California, United States +5 locations

We are now looking for a senior HPC software engineer. As a member of our the High Performance Computing Software development team, you will be responsible for …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - Model Risk

Richmond, Virginia, United States +1 location

Added Nov 4, 2026

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Capital One Financial

Senior Manager, Data Science - Model Risk

Richmond, Virginia, United States +3 locations

Added Oct 31, 2026

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Capital One Financial

Senior Manager, Data Science - Model Risk Office

Chicago, Illinois, United States +2 more

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Basic Qualifications · employer excerpt

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:A Bachelor's Degree in a quantitative field (Statistics, Economics,…
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

About this opportunity

Original employer description

Senior Manager, Data Science - Model Risk Office

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our machine learning, AI, software engineering, and business expertise to drive the best outcomes in both Model Risk Management and the Enterprise.

The successful candidate will join the Card Model Risk team which is tasked with review and oversight of models used for underwriting Capital One’s flagship credit card products. You will use a variety of modeling, statistical, monitoring, and analytical tools to ensure models developed by data science practitioners across the company are effectively governed and lead to positive outcomes for the business.

Role Description

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

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.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Preferred Qualifications:

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
At least 1 year of experience working with AWS
At least 1 year of experience managing people
At least 5 years’ experience in Python, Scala, or R for large scale data analysis
At least 5 years’ experience with machine learning

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.

Chicago, IL: $209,000 - $238,500 for Sr Mgr, Data Science

McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science

Riverwoods, IL: $209,000 - $238,500 for Sr Mgr, Data Science

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).

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