Machine Learning Research Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 32d ago
The date the source published, not the day we noticed it (2026-10-01). Last seen at its source 2h ago.
We have tracked this listing since 23 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States, Canada.
What the ad says
…Remote (…) US or Canada…
Pay
$250k–400k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 10d ago · last seen 2h ago
The listing
About the company
Our client is a healthcare technology company.
The role
Raydar is recruiting for this role on behalf of our client. Research and build machine learning systems that turn complex source documents into dependable, verifiable logic running in production. You will plan and run experiments on modern language models, shape evaluation methods, and ship the strongest approaches into a live pipeline. The work is done in close partnership with founders and subject-matter experts who review the results.
What you'll do
- Build a production pipeline that converts long-form documents into executable modules, covering parsing, transformation and checking.
- Iterate on the format used to express decision logic.
- Run comparative experiments across model families and adaptation techniques, including output-format control.
- Co-design datasets, metrics and error analysis to measure accuracy and faithfulness to sources.
- Create adversarial test cases that probe how well outputs match their sources and how complete and correct they are.
- Turn model failures into hypotheses, experiments and stronger system design.
- Write rule-based automated checks that rely on program analysis and logical reasoning tools to expose unclear, conflicting or missing information.
- Work directly with founders and expert reviewers who validate the outputs.
Requirements
What we're looking for
- Experience shipping machine learning or NLP systems to production, beyond research prototypes.
- Background in language tooling, automated code generation or rigorous verification techniques.
- Production-level Python and PyTorch skills, along with the Transformers ecosystem.
- Hands-on work evaluating, training or prompting large language models.
- Familiarity with logical solvers, intermediate representation design or domain-specific languages.
- Bachelor's degree or higher in computer science, machine learning, math or a related technical field.
- Clear written communication about failed experiments and uncertainty.
- Authorization to work in the US or Canada.
- Willingness to attend in-person team offsites several times a year.
Bonus points
- Experience at a leading AI research lab.
- PhD in computer science, machine learning, NLP or statistics.
- Prior work in an environment where safety and compliance matter.
Benefits
Compensation and benefits
- Base salary: USD 250,000 to 400,000 per year
- Equity
- Health, dental and vision coverage
- Flexible time off
- Paid parental leave
Location and work model
- Remote (US or Canada)
- Full-time