Remote Machine Learning Scientist Jobs
Remote Machine Learning Scientist jobs are open across the U.S. at remote-first firms, distributed research teams, and technology-driven companies in sectors like software, healthcare, and finance. Employers hiring remote machine learning scientists right now include StackAdapt, Penguin Random House, and Adaptive Biotechnologies. Scan the live roles below and apply to whichever ones fit.
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Showing 4 of 14+ Remote Machine Learning Scientist jobs
INTRODUCTION
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods
- Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
- Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
BASIC QUALIFICATIONS
What you'll bring to the table:
- Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have a comprehensive understanding of statistics, optimization and machine learning
- Are proficient in coding, data structures, and algorithms
- Enjoy working in a friendly, collaborative environment with others
COMPENSATION
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer. This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Canada Base Salary Band: $140,000 CAD - $192,500 CAD
USA Base Salary Band: $128,000 USD - $176,000 USD
BENEFITS
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/401K/Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
DIVERSITY AND INCLUSION
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
ABOUT STACKADAPT
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
- G2 Top Software for 2026
- 2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
- #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
- 2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards
To learn more about our privacy practices, please see our Privacy Policy.
LOCATION
StackAdapt is a Remote First company, and we are open to candidates located anywhere in North America for this position.
APPLICATION DEADLINE
This role will remain open until February 20, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.
INTRODUCTION
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods
- Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
- Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
BASIC QUALIFICATIONS
What you'll bring to the table:
- Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have a comprehensive understanding of statistics, optimization and machine learning
- Are proficient in coding, data structures, and algorithms
- Enjoy working in a friendly, collaborative environment with others
COMPENSATION
The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer. This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.
Factors Influencing Final Compensation:
The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
Canada Base Salary Band: $140,000 CAD - $192,500 CAD
USA Base Salary Band: $128,000 USD - $176,000 USD
BENEFITS
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/401K/Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
DIVERSITY AND INCLUSION
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
ABOUT STACKADAPT
We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:
- G2 Top Software for 2026
- 2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
- #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
- 2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards
To learn more about our privacy practices, please see our Privacy Policy.
LOCATION
StackAdapt is a Remote First company, and we are open to candidates located anywhere in North America for this position.
APPLICATION DEADLINE
This role will remain open until February 20, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.
See All 14 Remote Machine Learning Scientist Jobs
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Who's Hiring
Top Industries Hiring
- Marketing & Advertising
- Accounting & Auditing
What Employers Look For
The qualifications that appear most often in remote machine learning scientist jobs.
- PhD or MS in computer science, statistics, or a closely related quantitative field
- Proficiency in Python with deep experience in PyTorch or TensorFlow
- Experience designing, training, and evaluating large-scale machine learning models
- Familiarity with cloud ML infrastructure such as AWS SageMaker, GCP Vertex AI, or Azure ML
- Strong publication record or demonstrated applied research output
- Experience with distributed training, model optimization, or MLOps pipelines
Tips for Your Remote Machine Learning Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote machine learning scientist openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote postings fill fast, so checking regularly and applying as soon as a strong fit appears gives you a real advantage.
Build a portfolio of reproducible experiments
Remote employers can't watch you work, so your code and notebooks do the talking. Host documented, reproducible experiments on GitHub that show your modeling decisions, not just final results. Clear commit histories and README files signal you can collaborate asynchronously on a distributed team.
Highlight async communication in your materials
Remote machine learning scientist roles require written communication that keeps distributed teammates aligned without meetings. Mention specific tools you've used, like GitHub pull requests, Confluence, or Weights and Biases experiment logs, and describe how your documentation practices kept cross-functional teams informed on model development progress.
Target remote-first companies in your research
Companies built as remote-first from the start have the infrastructure and culture to support distributed machine learning scientists effectively. Look for firms with fully distributed engineering and research teams, because those organizations hire remote scientists regularly and have onboarding processes designed for async work.
Remote Machine Learning Scientist Jobs: Frequently Asked Questions
How do I get a remote machine learning scientist job?
Focus on companies that operate distributed research teams, because those employers are already set up to manage remote scientists and actively hire them. Remote hiring managers screen hard for self-direction, clear written communication, and the ability to document experiments so teammates in different time zones can follow your reasoning. A public portfolio of reproducible work, strong Python and ML framework proficiency, and experience collaborating through async tools like GitHub and Confluence give candidates a clear edge.
Which companies hire remote machine learning scientists?
Companies hiring remote machine learning scientists right now include StackAdapt, Penguin Random House, and Adaptive Biotechnologies, based on current remote listings on Migrate Mate as of August 2026. Remote-first technology firms and distributed teams in software, healthcare, and financial services are among the most consistent hirers of machine learning scientists in fully remote roles.
Can you get a remote machine learning scientist job with no experience?
Yes, but remote entry-level machine learning scientist roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Smaller remote-first startups and research-oriented companies are more open to early-career candidates who can show original project work, published or open-source contributions, and strong written documentation skills that signal you'll function well on a distributed team.
Do you need a degree for remote machine learning scientist jobs?
Usually, but not always. Most remote machine learning scientist postings list a graduate degree as a preference, but remote employers increasingly weigh demonstrated skills, reproducible research, and real-world results alongside formal credentials. A strong portfolio of model development work, peer-reviewed contributions, or verifiable production deployments can offset the absence of an advanced degree for the right role.
Which industries hire the most remote machine learning scientists?
The sectors hiring the most remote machine learning scientists are Marketing & Advertising and Accounting & Auditing, based on current remote listings on Migrate Mate as of August 2026. Those industries rely on distributed research and engineering teams that are structured to support scientists working fully remotely from the start.
See All 14 Remote Machine Learning Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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