Remote Machine Learning Jobs
Remote machine learning jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring for roles in tech, finance, healthcare, and AI research. Employers hiring remotely right now include Atlas Technologies, Atlassian, and Lockheed Martin. See the openings below and apply to the ones that match your experience.
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Showing 5 of 259+ Remote Machine Learning jobs
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the team
Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm.
What You'll Do
- You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
- You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
- You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
- You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts.
- You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
- You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
- You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
- You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
- You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
- You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
- 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.
- This position requires either equivalent practical experience or a Bachelor's degree in a related field.
- Experience training and deploying models for production is a nice to have.
Base Pay Grade - N
Equity Grade - 9
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.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000
USA base pay range (all other U.S. states) per year: $173,000 - $233,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
- Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
- Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
- Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
- Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the team
Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm.
What You'll Do
- You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
- You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
- You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
- You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts.
- You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
- You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
- You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
- You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
- You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
- You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
- 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.
- This position requires either equivalent practical experience or a Bachelor's degree in a related field.
- Experience training and deploying models for production is a nice to have.
Base Pay Grade - N
Equity Grade - 9
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.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000
USA base pay range (all other U.S. states) per year: $173,000 - $233,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
- Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
- Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
- Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
- Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.
See All 259+ Remote Machine Learning Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Machine Learning JobsRemote Machine Learning Job Market
Who's Hiring
- Atlas Technologies22
- Atlassian14
- Lockheed Martin11
- Jobot9
- Whatnot5
Top Industries Hiring
- Technology & Software20
- Staffing & Recruiting10
- Hospitality & Tourism4
- Automotive3
- Electronics & Hardware3
What Employers Look For
The qualifications that appear most often in remote machine learning jobs.
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Strong foundation in statistics, linear algebra, and probability theory
- Familiarity with cloud platforms such as AWS, GCP, or Azure for ML workloads
- Experience with data pipelines, feature engineering, and model evaluation workflows
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related field
Tips for Your Remote Machine Learning Job Search
Build a portfolio that shows async work
Remote machine learning employers want evidence you can work without hand-holding. Document your projects end-to-end on GitHub with clear READMEs, reproducible notebooks, and model cards that explain your decisions. Async-readable documentation is itself a signal you'll thrive on a distributed team.
Demonstrate written communication from the start
Remote ML teams run on written communication, and your application materials are the first test. Write cover letters and follow-ups that are specific, structured, and easy to read quickly. Employers screening remote candidates treat clear written reasoning as a proxy for how you'll collaborate across time zones.
Target remote-first companies explicitly
Remote-first firms and AI-native startups build their processes around distributed teams, making them far more likely to hire and retain remote machine learning engineers long-term. Filter your search for companies with fully remote or distributed-by-design structures rather than legacy employers experimenting with hybrid arrangements.
Apply early to remote roles that fit
Migrate Mate lists remote machine learning openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sifting through location-filtered results. Applying in the first days a role is listed improves your odds before hiring pipelines fill.
Remote Machine Learning Jobs: Frequently Asked Questions
How do I get a remote machine learning job?
Target companies that already run distributed engineering teams, since they have the infrastructure and culture for remote machine learning work. Remote employers screen hard for self-direction, clear async written communication, and hands-on fluency with ML frameworks like PyTorch or TensorFlow. A public GitHub portfolio with documented experiments, model cards, and reproducible results gives you a concrete edge over candidates who rely on credentials alone.
Which companies hire remote machine learnings?
Employers currently hiring remote machine learnings include Atlas Technologies, Atlassian, and Lockheed Martin, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, AI-native startups, and distributed teams in finance and healthcare tend to hire for this role across the U.S. without location requirements.
Can you get a remote machine learning job with no experience?
Yes, but remote entry-level machine learning roles are harder to land because employers expect you to work independently from day one without in-person mentorship. AI-native startups and research-focused companies are the most open to junior candidates. A strong public portfolio of end-to-end ML projects, contributions to open-source repositories, and demonstrated async communication skills can open doors that a thin resume alone cannot.
Do you need a degree for remote machine learning jobs?
Not always. Many remote employers weigh demonstrable skills and project results heavily alongside or instead of a formal degree, particularly at startups and AI-product companies. What matters most is evidence you can build, train, evaluate, and deploy models independently. A portfolio showing real ML pipelines, published Kaggle results, or open-source contributions often carries more weight than the credential alone.
Which industries hire the most remote machine learnings?
Remote machine learning roles concentrate in Technology & Software, Staffing & Recruiting, and Hospitality & Tourism, based on current remote listings on Migrate Mate as of November 2026. Those sectors rely on distributed engineering teams that can build and iterate on models without requiring engineers to be in a central office.
See All 259+ Remote Machine Learning Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Machine Learning Jobs