Remote Machine Learning Research Scientist Jobs
Remote Machine Learning Research Scientist jobs are open across the U.S. at remote-first firms, distributed AI labs, and technology-driven companies in sectors like software, healthcare, and finance. Employers hiring remotely right now include Rad AI, oura, and Cobalt. Scan the live roles below and apply to whichever ones fit.
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About DDM Group
DDM Group is a digital media company with three properties: Atlanta Black Star, The Shadow League and Finurah. Over 14 years, DDM grew its audience to more than 20 million monthly users at peak entirely through organic distribution, without paid traffic. DDM has turned what it learned into a proprietary model of what captures an audience's attention and what moves people to change their behavior. We are now testing that model rigorously, and building it into an AI-powered service.
The role
You will own the evaluation of the model from raw data to verdict. You will build the dataset from 14 years of content and analytics (nearly 100,000 published articles on Atlanta Black Star alone, each with Google Analytics history), have AI models score the full archive, validate those scores against trained human raters on a sample, test whether those scores predict real audience behavior, and run live experiments on our properties. Your findings decide what we build and where we invest. We want an honest answer, including if the answer is no. If the model holds up, you will turn the evaluation pipeline into the core of the product: the scoring engine, the generator that proposes signals and plans, and the experiment and learning loop.
This is a remote contract role starting immediately. You will report to Neil Nelson, CEO, who owns the model, and work closely with our editorial team, whose producers serve as raters.
What you will do
Build the evaluation dataset: export story text and metadata from our WordPress sites, pull Google Analytics 4 data by traffic source, and recover older data from other sources where needed.
Design a balanced, representative sample, including stories that failed, not only the hits.
Run the scoring: set up blind rating, train and calibrate human raters with the editorial lead, measure how well raters agree, and write and validate the prompts for AI raters against human judgment.
Test the model: fit weights on one part of the data and validate them on data held back; compare alternative ways of combining scores; control for distribution effects such as platform algorithm changes and traffic source.
Test early-warning indicators on historical audience data.
Design, size and analyze live A/B tests on our properties.
Keep a clean, reproducible record of every dataset, decision, score, prediction and result.
Report findings plainly to the CEO, against success criteria agreed before the analysis begins.
About DDM Group
DDM Group is a digital media company with three properties: Atlanta Black Star, The Shadow League and Finurah. Over 14 years, DDM grew its audience to more than 20 million monthly users at peak entirely through organic distribution, without paid traffic. DDM has turned what it learned into a proprietary model of what captures an audience's attention and what moves people to change their behavior. We are now testing that model rigorously, and building it into an AI-powered service.
The role
You will own the evaluation of the model from raw data to verdict. You will build the dataset from 14 years of content and analytics (nearly 100,000 published articles on Atlanta Black Star alone, each with Google Analytics history), have AI models score the full archive, validate those scores against trained human raters on a sample, test whether those scores predict real audience behavior, and run live experiments on our properties. Your findings decide what we build and where we invest. We want an honest answer, including if the answer is no. If the model holds up, you will turn the evaluation pipeline into the core of the product: the scoring engine, the generator that proposes signals and plans, and the experiment and learning loop.
This is a remote contract role starting immediately. You will report to Neil Nelson, CEO, who owns the model, and work closely with our editorial team, whose producers serve as raters.
What you will do
Build the evaluation dataset: export story text and metadata from our WordPress sites, pull Google Analytics 4 data by traffic source, and recover older data from other sources where needed.
Design a balanced, representative sample, including stories that failed, not only the hits.
Run the scoring: set up blind rating, train and calibrate human raters with the editorial lead, measure how well raters agree, and write and validate the prompts for AI raters against human judgment.
Test the model: fit weights on one part of the data and validate them on data held back; compare alternative ways of combining scores; control for distribution effects such as platform algorithm changes and traffic source.
Test early-warning indicators on historical audience data.
Design, size and analyze live A/B tests on our properties.
Keep a clean, reproducible record of every dataset, decision, score, prediction and result.
Report findings plainly to the CEO, against success criteria agreed before the analysis begins.
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Find JobsRemote Machine Learning Research Scientist Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
- Fintech
- Investment & Asset Management
What Employers Look For
The qualifications that appear most often in remote machine learning research scientist jobs.
- PhD in machine learning, computer science, statistics, or a closely related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale machine learning experiments
- Strong publication record at venues such as NeurIPS, ICML, ICLR, or CVPR
- Hands-on experience with distributed training and cloud compute infrastructure
- Ability to communicate research findings clearly to both technical and non-technical stakeholders
Tips for Your Remote Machine Learning Research Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote machine learning research scientist openings from across the U.S. in one place. Check it regularly and apply directly to roles that match your research focus and experience level before postings fill.
Show your async research communication skills
Remote ML research teams depend on written documentation over verbal explanation. Share experiment writeups, model cards, or technical reports in your application materials to prove you can communicate research findings clearly without synchronous meetings.
Build a reproducible public research portfolio
Remote employers can't walk through your work in person, so a well-organized GitHub repo with reproducible experiments, documented results, and clear README files does the showing for you. Prioritize depth in a few projects over breadth.
Target companies running distributed research teams
Remote-first AI labs, cloud platform research groups, and ML-heavy product companies in software and healthcare are most likely to have established workflows for remote researchers. Focus your search there rather than applying broadly to firms without remote research infrastructure.
Remote Machine Learning Research Scientist Jobs: Frequently Asked Questions
How do I get a remote machine learning research scientist job?
Target remote-first AI labs, cloud platform companies, and technology-driven healthcare or finance firms that run distributed research teams. Remote employers screen for self-directed researchers who document experiments clearly, communicate findings in writing without relying on whiteboard sessions, and ship models with minimal hand-holding. A strong GitHub presence, published or preprint research, and demonstrated async collaboration give candidates a clear edge over equally credentialed applicants.
Which companies hire remote machine learning research scientists?
Remote machine learning research scientist roles are posted by Rad AI, oura, and Cobalt and others right now, based on current remote listings on Migrate Mate as of November 2026. These include remote-first AI product companies, distributed cloud infrastructure teams, and research-focused firms across software, healthcare, and finance sectors.
Can you get a remote machine learning research scientist job with no experience?
Yes, but remote entry-level research roles are harder to land because employers expect you to operate independently from day one without an in-person mentor nearby. Candidates can open doors by contributing to open-source ML projects, publishing reproducible experiments on GitHub, or completing research-track graduate coursework. Smaller remote-first startups and AI labs running lean distributed teams are more likely to hire motivated candidates who show strong fundamentals and self-driven project work.
Do you need a degree for remote machine learning research scientist jobs?
Usually, but a master's or PhD is not always a strict requirement if you can show equivalent research output. Remote employers weigh published work, model performance on real datasets, open-source contributions, and demonstrated ability to design and iterate on experiments independently. A portfolio of well-documented research projects or a strong record of applied ML work can substitute for a formal credential at some remote-first companies and AI-focused startups.
Which industries hire the most remote machine learning research scientists?
Most remote machine learning research scientist openings sit in Biotechnology & Pharmaceuticals, Fintech, and Investment & Asset Management, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed research teams to build, evaluate, and iterate on models without requiring researchers to be on-site.
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