Remote ML Software Engineer Jobs
Remote ML Software Engineer jobs are open across the U.S. in sectors like tech, fintech, healthcare AI, and enterprise software, at remote-first companies and distributed engineering teams ranging from early-stage startups to large-scale platform businesses. Employers hiring remotely right now include Affirm, Upstart, and Stack AV. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 13+ Remote ML Software 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 13 Remote ML Software Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote ML Software Engineer Job Market
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote ML software engineer 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
- Familiarity with MLOps practices including experiment tracking, model versioning, and CI/CD pipelines
- Strong foundations in statistics, probability, and linear algebra relevant to model development
- Bachelor's or master's degree in computer science, electrical engineering, or a related quantitative field
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for scalable model serving
Tips for Your Remote ML Software Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote ml software engineer openings from companies across the U.S. in one place. Filter by role and apply directly to the ones that match your stack and experience level before competitive postings fill.
Build a portfolio that proves remote output
Remote hiring managers can't see you work, so your GitHub, Hugging Face repos, or personal project writeups do that for you. Document your decisions, not just your code, so reviewers understand your reasoning process without a conversation.
Demonstrate async communication in your application
Remote ml software engineer teams run on written communication. A cover message or technical summary that is clear, structured, and self-contained signals you'll function well in a distributed team, often more than a polished resume alone.
Match your tools to the remote ML stack
Remote ML teams commonly rely on MLflow, Weights and Biases, Kubeflow, or similar experiment tracking and orchestration tools alongside cloud platforms like AWS SageMaker or Google Vertex AI. Calling these out specifically in your application materials shows operational readiness, not just modeling knowledge.
Remote ML Software Engineer Jobs: Frequently Asked Questions
How do I get a remote ml software engineer job?
Target remote-first companies and distributed engineering teams, which make up the bulk of remote ml software engineer openings. Remote employers screen heavily for async communication skills, self-directed project execution, and hands-on fluency with ML frameworks, experiment tracking tools, and model deployment pipelines. A public portfolio of shipped ML work, clean documentation habits, and a history of contributing to collaborative codebases gives you a clear edge over candidates who have only worked in-office environments.
Which companies hire remote ml software engineers?
Remote ml software engineer roles are posted by Affirm, Upstart, and Stack AV and others right now, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first tech firms, distributed AI product teams, and companies in fintech, healthcare technology, and enterprise SaaS that run fully asynchronous engineering organizations.
Can you get a remote ml software engineer job with no experience?
Yes, but remote entry-level ml software engineer roles are harder to land than in-office ones because you're expected to work independently from day one. Companies that hire entry-level ml software engineers remotely are usually early-stage startups or open-source-driven teams. A strong GitHub portfolio with documented ML projects, contributions to public repositories, and demonstrated ability to communicate technical decisions in writing can substitute for formal work history.
Do you need a degree for remote ml software engineer jobs?
Not always. Remote employers in ML consistently weigh demonstrable technical skills, shipped projects, and measurable results over formal credentials. A portfolio showing end-to-end ML work, from data preprocessing through model evaluation and deployment, carries significant weight. That said, roles at larger companies or those involving research-adjacent work still frequently list a bachelor's or master's in computer science, mathematics, or a related field as a baseline requirement.
Which industries hire the most remote ml software engineers?
Remote ml software engineer roles concentrate in Banking & Financial Services, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed ML teams because their core products, whether AI-driven software platforms, algorithmic financial systems, or clinical decision tools, are built and iterated entirely in code that requires no physical presence.
See All 13 Remote ML Software Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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