Machine Learning Engineer Jobs in New York, NY
Machine Learning Engineer jobs in New York, New York are in strong demand, concentrated in Midtown Manhattan, the Flatiron District, and Hudson Yards across finance, adtech, and healthcare technology. Employers actively hiring include Spotify, Amazon, and Lyft. Scan the live roles below and apply to whichever ones fit.
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INTRODUCTION
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
About the Engineering team
The Engineering team builds systems that power Affirm's mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we're enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.
About the team
ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm.
ML Feature Platform's mission is to: Grow Affirm's business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning.
As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes:
- Feature creation, exploration, and serving
- Data storage, availability, and visibility
- Offline backfilling infrastructure and platform improvements
This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally, as the primary data source for ML and online decisioning, our platform's performance is critical to Affirm's availability and latency goals.
We're looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company.
BASIC QUALIFICATIONS
- You have a total of 1.5+ years of experience as a software engineer.
- You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin.
- You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
- You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
- You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
COMPENSATION
- Base Pay Grade - L
- Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
USA base pay range (CA, WA, NY, NJ, CT) per year: $165,000 - $225,000
USA base pay range (all other U.S. states) per year: $146,000 - $206,000
WORK ARRANGEMENT
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
BENEFITS
We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
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Find JobsMachine Learning Engineer Job Market in New York
Who's Hiring
- Spotify19

- Amazon16

- Lyft13

- Google11

- Capital One11

Top Industries Hiring
- Technology & Software121
- Banking & Financial Services31
- Music27
- Investment & Asset Management26
- Retail24
Machine Learning Engineer Jobs in New York: Frequently Asked Questions
How do I get a machine learning engineer job in New York?
Focus your search on financial services firms along Midtown's Park Avenue corridor, adtech and media companies in the Flatiron District, and health tech employers anchored around the East Side medical corridor. New York hiring managers favor candidates with production-grade ML experience, strong Python and SQL skills, and the ability to explain model outputs to non-technical stakeholders. Networking through local ML meetups and university research groups gives candidates a measurable edge in this market.
Which companies hire machine learning engineers in New York?
Companies currently hiring machine learning engineers in New York include Spotify, Amazon, and Lyft, per current listings on Migrate Mate as of June 2026. New York's employer mix is notably diverse, with large financial institutions, digital media companies, and early-stage startups all competing for ML talent across the city.
Are there remote machine learning engineer jobs in New York?
Yes, though roles involving live data pipelines or proprietary trading systems often require on-site presence. About 50% of machine learning engineer openings tied to New York are remote or hybrid as of June 2026, with the flexibility concentrated in research-focused and NLP engineering roles rather than infrastructure-heavy positions.
How can I get a machine learning engineer job in New York with little or no experience?
The most realistic entry path in New York is landing a data analyst or junior data scientist role at a mid-size fintech or adtech firm in the Flatiron or Chelsea area, then moving into ML engineering as you build production experience. NYU, Columbia, and Cornell Tech all partner with local employers on applied research projects that give early-career candidates portfolio work recognized by New York hiring teams. Demonstrated experience with a public Kaggle competition or a GitHub-hosted end-to-end ML project significantly strengthens an entry-level application here.
Which industries hire the most machine learning engineers in New York?
New York machine learning engineer roles concentrate in Technology & Software, Banking & Financial Services, and Music, based on current listings on Migrate Mate as of June 2026. New York's density of global financial institutions, digital advertising platforms, and large hospital networks creates unusually broad industry demand for ML talent compared to most other U.S. cities.
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