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Senior Manager, Machine Learning Engineer

Capital One · Cambridge, MA · posted 10 days ago

In short: Senior Manager, Machine Learning Engineer at Capital One in Cambridge, MA, posted 10 days ago.

By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.

Capital Oneemployer

Cambridge, MAlocation

Data, analytics and AIsub-niche

10 days agoposted

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The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-29

Employer	Capital One
Location	Cambridge, Massachusetts
Field	Technology › Data, analytics and AI
Level	Senior Level
Source category	not stated
Posted	2026-10-29 (10 days ago)
Work arrangement	On-site at the location listed
Pay	Not published in the source listing

Job description

Senior Manager, Machine Learning Engineer

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 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).

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Capital One Jobs in Massachusetts Jobs in Cambridge, MA Cambridge city guide Massachusetts state guide Middlesex County economy

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About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at Capital One. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

Does the pay work here? (estimate)

Gross salary a year Filing State income tax rate %

Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.

How to prepare and behave

This is editorial guidance, not information from the employer.

Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
Be honest about gaps; say what you did to learn and how fast you can close them.
Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
Send a short thank-you message within a day, mentioning one thing you discussed.
Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

Know your rights as a candidate and an employee:

The city

The job is in Cambridge, MA. Below is what the official statistics say about living and working there.

How Cambridge compares. Among the 80 largest places in Massachusetts, Cambridge is #4 by population, #78 for homeownership (#1 = highest), #77 for rent (#1 = cheapest), #7 for college degrees (#1 = most). Its county, Middlesex County, is #2 of 14 counties for average pay ($113,704).

The place in numbers

Cambridge has 118,796 residents (ACS 2020–2024), about 1.7% of the population of Massachusetts. It covers 6 square miles of land, which works out to roughly 18,571 people per square mile. The median age is 30.4, 24% younger than the state median (30.4 against 40.0).

Housing

The median gross rent is $2,787 a month (rent plus utilities), 58% above the state median ($2,787 against $1,762). Over a year that is 25.6% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,092,100, which is 8.4 times the median household income ($130,748); a ratio above 5 usually means buying is out of reach without savings or a second income. 33.5% of households own their home, 46% below the state average (33.5% against 62.5%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The Boston-Cambridge-Newton, MA-NH metropolitan area has 2,703,890 jobs in the BLS wage survey, and the median pay across all occupations is $66,620 a year, 31% above the national median ($66,620 against $50,980). The biggest occupation groups are office and administrative support (265,830 jobs, median $56,580); management (254,700 jobs, median $166,580); business and financial operations (242,960 jobs, median $102,660). The area is most specialised in life, physical, and social science (2.6 times) and architecture and engineering (1.4 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($166,580) and legal ($135,160). In 2026M09 the unemployment rate of Middlesex County was 3.8%. 69.5% of residents aged 16 and over are in the labour force. The city lies in Middlesex County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 19.7% drive alone, 18.0% use public transit, 19.2% walk, 30.8% work from home. 13.3% of workers commute 45 minutes or more, 38% below the state average (13.3% against 21.5%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

80.8% of adults aged 25 and over hold a bachelor's degree or higher, 71% above the state share (80.8% against 47.3%). 29.7% of residents were born outside the United States, 64% above the state share (29.7% against 18.1%). The poverty rate is 12.8%, 27% above the state rate (12.8% against 10.0%).

Climate

The warmest month is Jul, averaging 72°F (22.4°C), and the coolest is Jan at 26°F (-3.5°C). About 1,206 mm (47 inches) of precipitation falls in a year; Oct is the wettest month (123 mm) and Jan the driest (80 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Somerville (1 miles, rent 10% lower); Medford (3 miles, rent 10% lower); Belmont (3 miles, rent 9% lower); Arlington (4 miles, rent 25% lower). Rent differences are against Cambridge; use the Compare tab to put any two cities side by side.

Full guide to Cambridge →Massachusetts guide All jobs in Cambridge

Official links for Cambridge

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of Cambridge, MA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Sort:

Place ⇅	Distance from the job city ⇅	Median rent ⇅	Median home value ⇅	Median household income ⇅	Commute 45+ min ⇅	Rent as % of occupation pay ⇅	Open jobs there ⇅
Cambridge, MA	0 mi	$2,787	$1,092,100	$130,748	13.3%	n/a	Jobs
Somerville, MA	1 mi	$2,517	$911,300	$132,572	20.9%	n/a	—
Medford, MA	3 mi	$2,509	$755,500	$129,540	22.0%	n/a	—
Belmont, MA	3 mi	$2,527	$1,159,000	$183,137	19.2%	n/a	—
Arlington, MA	4 mi	$2,082	$933,800	$150,701	27.3%	n/a	—
Brookline, MA	4 mi	$2,835	$1,246,800	$142,101	14.7%	n/a	—
Everett, MA	4 mi	$2,076	$610,000	$85,218	31.6%	n/a	—
Chelsea, MA	5 mi	$1,956	$493,500	$72,179	28.1%	n/a	—
Malden, MA	5 mi	$2,204	$633,500	$100,606	30.2%	n/a	—
Winchester, MA	5 mi	$2,279	$1,215,200	$230,198	25.5%	n/a	—
Newton, MA	6 mi	$2,370	$1,264,900	$190,304	17.0%	n/a	—
Boston, MA	6 mi	$2,147	$731,700	$97,344	22.0%	n/a	Jobs
Melrose, MA	6 mi	$1,970	$822,900	$133,953	34.0%	n/a	—
Waltham, MA	6 mi	$2,268	$748,700	$120,216	13.8%	n/a	Jobs
Stoneham, MA	7 mi	$2,035	$671,900	$113,964	22.9%	n/a	—
Revere, MA	7 mi	$2,076	$597,400	$86,969	30.0%	n/a	—
Lexington, MA	7 mi	$2,891	$1,203,100	$238,444	27.7%	n/a	—
Winthrop Town, MA	8 mi	$2,064	$649,600	$116,167	31.2%	n/a	—
Woburn, MA	8 mi	$2,221	$673,500	$111,185	17.2%	n/a	—
Saugus, MA	8 mi	$2,241	$603,400	$101,539	19.7%	n/a	—

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far Cambridge, MA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Sort:

From ⇅	Straight-line distance (miles) ⇅	Population of that city ⇅
New York, NY	188 mi	8,483,844
Philadelphia, PA	265 mi	1,579,706
Columbus, OH	638 mi	914,802
Charlotte, NC	719 mi	903,844
Indianapolis, IN	802 mi	885,860
Chicago, IL	849 mi	2,711,226
Jacksonville, FL	1,016 mi	977,670
Oklahoma City, OK	1,490 mi	697,125
Dallas, TX	1,544 mi	1,307,930
Fort Worth, TX	1,573 mi	963,194
Houston, TX	1,601 mi	2,328,253
Austin, TX	1,691 mi	979,539
Denver, CO	1,756 mi	718,877
San Antonio, TX	1,762 mi	1,479,835
Phoenix, AZ	2,289 mi	1,642,323
Seattle, WA	2,483 mi	754,195
San Diego, CA	2,571 mi	1,389,526
Los Angeles, CA	2,597 mi	3,857,263
San Jose, CA	2,673 mi	990,138
San Francisco, CA	2,722 mi	830,235

Nearby cities with open jobs (within 120 miles)

Sort:

City ⇅	Straight-line distance ⇅	Open jobs ⇅
Boston, MA	6 mi	650
Waltham, MA	6 mi	3
Framingham, MA	17 mi	6
Andover, MA	19 mi	8
Barrington, RI	45 mi	1
Amherst, MA	72 mi	14

The employer

Capital One is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

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FAQ

What is the Senior Manager, Machine Learning Engineer job at Capital One?

A senior level role in technology (data, analytics and ai) listed 10 days ago. The full description is on this page and on The Muse.

Where is this job?

Cambridge, MA.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in Cambridge is $2,787 a month and median household income $130,748 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-29 (10 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in Massachusetts.

Sources and terms

Job data: The Muse public API (listing dated 2026-10-29). The job disappears from this site when it disappears from the source.
Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

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