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 Atlassian, Jobot, and Whatnot. See the openings below and apply to the ones that match your experience.
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Showing 5 of 266+ Remote Machine Learning jobs
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software with highly performant code, elevate Target’s culture, and apply retail domain knowledge.
As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power Target's digital recommendations and personalization experiences. Working closely with data scientists, engineers, product managers, and business stakeholders, you will identify opportunities to improve guest experiences through recommendation, retrieval, ranking, and personalization solutions at a massive scale.
You will lead the design, development, evaluation, and deployment of machine learning models that influence how millions of guests discover products across Target's digital experiences. Leveraging expertise in machine learning, deep learning, experimentation, and optimization, you will translate ambiguous business challenges into scalable algorithmic solutions that drive measurable guest and business impact. You will be responsible for driving projects from initial problem definition through production deployment and measurement, balancing innovation with operational excellence and long-term maintainability. You will help shape the technical direction of Target's recommendation capabilities, establishing best practices for model development, evaluation, and measurement while influencing decisions across product, engineering, and data science teams.
Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
- PhD or MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field with 2+ years of industry experience
- 5+ years of experience developing machine learning solutions scaling recommendation, personalization, ranking, retrieval, or search machine learning systems
- Experience with reinforcement learning and/or contextual bandit design, implementation, and evaluation
- Experience leading the development, evaluation, and deployment of machine learning solutions and partnering with engineering teams to deliver scalable production systems
- Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX
- Experience working with large-scale data processing and analytics platforms such as Spark or equivalent
- Deep understanding of machine learning, deep learning, optimization, statistics, probability, and experimental design
- Experience designing, analyzing, and interpreting online experiments and using results to inform product and business decisions
- Demonstrated ability to translate ambiguous business challenges into scalable machine learning solutions
- Demonstrated ability to influence technical direction and drive alignment across product, engineering, and business stakeholders
- Experience leveraging modern AI and generative AI tools to accelerate development, experimentation, and model delivery
- Excellent communication skills with the ability to clearly communicate complex technical concepts to both technical and non-technical audiences
- Strong software engineering fundamentals, including testing, code reviews, documentation, and maintainable system design
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 10/29/2026Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software with highly performant code, elevate Target’s culture, and apply retail domain knowledge.
As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power Target's digital recommendations and personalization experiences. Working closely with data scientists, engineers, product managers, and business stakeholders, you will identify opportunities to improve guest experiences through recommendation, retrieval, ranking, and personalization solutions at a massive scale.
You will lead the design, development, evaluation, and deployment of machine learning models that influence how millions of guests discover products across Target's digital experiences. Leveraging expertise in machine learning, deep learning, experimentation, and optimization, you will translate ambiguous business challenges into scalable algorithmic solutions that drive measurable guest and business impact. You will be responsible for driving projects from initial problem definition through production deployment and measurement, balancing innovation with operational excellence and long-term maintainability. You will help shape the technical direction of Target's recommendation capabilities, establishing best practices for model development, evaluation, and measurement while influencing decisions across product, engineering, and data science teams.
Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
- PhD or MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field with 2+ years of industry experience
- 5+ years of experience developing machine learning solutions scaling recommendation, personalization, ranking, retrieval, or search machine learning systems
- Experience with reinforcement learning and/or contextual bandit design, implementation, and evaluation
- Experience leading the development, evaluation, and deployment of machine learning solutions and partnering with engineering teams to deliver scalable production systems
- Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX
- Experience working with large-scale data processing and analytics platforms such as Spark or equivalent
- Deep understanding of machine learning, deep learning, optimization, statistics, probability, and experimental design
- Experience designing, analyzing, and interpreting online experiments and using results to inform product and business decisions
- Demonstrated ability to translate ambiguous business challenges into scalable machine learning solutions
- Demonstrated ability to influence technical direction and drive alignment across product, engineering, and business stakeholders
- Experience leveraging modern AI and generative AI tools to accelerate development, experimentation, and model delivery
- Excellent communication skills with the ability to clearly communicate complex technical concepts to both technical and non-technical audiences
- Strong software engineering fundamentals, including testing, code reviews, documentation, and maintainable system design
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 10/29/2026See All 266+ 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
- Atlassian14
- Jobot9
- Whatnot7
- BV Teck6
- Amgen5
Top Industries Hiring
- Technology & Software32
- Staffing & Recruiting10
- Automotive7
- Hospitality & Tourism6
- Consulting & Professional Services6
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 Atlassian, Jobot, and Whatnot, per current remote listings on Migrate Mate as of September 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 Automotive, based on current remote listings on Migrate Mate as of September 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 266+ Remote Machine Learning Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Machine Learning Jobs