Remote Machine Learning Engineer Jobs
Remote Machine Learning Engineer jobs are in strong demand at remote-first firms and distributed engineering teams across technology, finance, and healthcare. 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 238+ Remote Machine Learning Engineer 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 238+ Remote Machine Learning Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Machine Learning Engineer Job Market
Who's Hiring
- Atlas Technologies22
- Atlassian14
- Lockheed Martin11
- Whatnot5
- NVIDIA4
Top Industries Hiring
- Technology & Software19
- Hospitality & Tourism4
- Automotive3
- Electronics & Hardware3
- Consulting & Professional Services3
What Employers Look For
The qualifications that appear most often in remote machine learning engineer jobs.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience building and deploying models in cloud environments like AWS, GCP, or Azure
- Familiarity with MLOps tools including MLflow, Kubeflow, or SageMaker
- Strong foundation in statistics, linear algebra, and machine learning theory
- Bachelor's or master's degree in computer science, mathematics, or a related field
- Experience with large-scale data processing using Spark, SQL, or distributed systems
Tips for Your Remote Machine Learning Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote machine learning engineer openings from companies hiring across the U.S. in one place. Check it regularly and apply directly to roles that match your stack and experience level before postings fill.
Show async collaboration in your portfolio
Remote machine learning teams rely on written documentation over verbal updates. Include README files, experiment logs, and model cards in your GitHub projects so hiring managers can evaluate your reasoning without a walkthrough call.
Demonstrate experiment tracking and reproducibility
Remote ML employers screen for candidates who manage their own workflows without oversight. Showcase your use of tools like MLflow, DVC, or Weights and Biases to show you can run structured, reproducible experiments independently in a distributed environment.
Target remote-first companies in your search
Remote-first software firms and AI-native startups have built distributed engineering cultures from the ground up. These employers are more likely to have remote-specific onboarding, async code review processes, and the tooling that makes remote machine learning work sustainable long-term.
Remote Machine Learning Engineer Jobs: Frequently Asked Questions
How do I get a remote machine learning engineer job?
Target companies with established remote engineering cultures, such as remote-first software firms and distributed product teams, because they've already built the infrastructure for async collaboration. Remote employers screen for self-direction, clear written communication, and the ability to document model decisions and experiments without hand-holding. A strong GitHub presence, reproducible notebooks, and demonstrated experience with MLflow, DVC, or similar experiment-tracking tools give candidates a concrete edge over the competition.
Which companies hire remote machine learning engineers?
Companies hiring remote machine learning engineers right now include Atlas Technologies, Atlassian, and Lockheed Martin, based on current remote listings on Migrate Mate as of November 2026. Remote openings for this role are concentrated at remote-first software companies, AI-native startups, and distributed teams in fintech, healthtech, and enterprise SaaS.
Can you get a remote machine learning engineer job with no experience?
Yes, but remote entry-level machine learning engineer roles are harder to land because you're expected to work independently from day one with minimal in-person guidance. The most effective path is building a public portfolio of end-to-end ML projects on GitHub, contributing to open-source model repositories, or completing structured ML engineering programs. Remote-first startups and research-oriented companies are the most likely to hire junior candidates who can demonstrate initiative through real, documented work.
Do you need a degree for remote machine learning engineer jobs?
Not always. Many remote employers weigh a candidate's GitHub portfolio, demonstrated proficiency with frameworks like PyTorch or TensorFlow, and real project outcomes more heavily than a formal credential. That said, roles at enterprise firms and research-driven organizations often list a degree in computer science, statistics, or a related field as a baseline. Candidates without a degree strengthen their position by showing deployed models, clear experiment documentation, and measurable results from real projects.
Which industries hire the most remote machine learning engineers?
The sectors hiring the most remote machine learning engineers are Technology & Software, Hospitality & Tourism, and Automotive, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed engineering teams and have the data infrastructure and product demands that make remote machine learning work both practical and scalable.
See All 238+ Remote Machine Learning Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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