Staff ML Research Scientist

Rad AI
San Francisco, United States
Workplace: OnsiteFull timeUSD 190,000 - 260,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["Collaboration","Communication","Problem-solving","Leadership","Mentoring"]

Lead end-to-end applied ML research in NLP and clinical AI, guiding experiments from framing problems to production rollout. Set technical direction across LLMs, retrieval, and multimodal modeling; build robust evaluation tying offline metrics to real-world outcomes; collaborate with engineers, product, and clinicians to ensure impact and reliability.

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FursaFursa
Rad AI
Rad AI
10 months ago

Staff ML Research Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Lead end-to-end applied ML research in NLP and clinical AI, guiding experiments from framing problems to production rollout. Set technical direction across LLMs, retrieval, and multimodal modeling; build robust evaluation tying offline metrics to real-world outcomes; collaborate with engineers, product, and clinicians to ensure impact and reliability.
Location: San Francisco, United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own end-to-end applied research: frame the problem, design experiments, ship to production, and monitor impact against real-world metrics.
  • •Set technical direction across LLMs, retrieval, and multimodal; run ablations/error analysis that change product decisions.
  • •Build evaluation that matters: link offline metrics to online outcomes; define thresholds, monitoring, and rollback.
  • •Partner to deliver with engineering and product—and, when relevant, clinicians/domain experts—to align data, success criteria, and timelines.
  • •Raise the bar by mentoring peers and codifying standards for reliability, safety, and documentation.

Pay and Benefits

Salary: USD 190,000 - 260,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kRemote WorkPaid HolidaysEquipment StipendLife Insurance

Key Requirements

  • •MS or PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or related quantitative field
  • •7+ years of applied ML research experience (or PhD + 5 years, or equivalent evidence of Staff-level impact)
  • •Depth in one or more areas: LLMs and NLP, computer vision, speech, retrieval, or multimodal modeling
  • •Strong experimental rigor: clear hypothesis framing, offline→online linkage, calibration and stratified analyses, ablations that influence decisions
  • •Proven ability to take models to production
Experience:7+ yearsHealthcareAIRadiologyClinical AI
Education:Bachelor's
Skills:CollaborationCommunicationProblem-solvingLeadershipMentoring
Tech Stack:PyTorchMLflowDatabricksRayDaskTritonPytorch LightningPandasNumPy

Company Brief

Rad AI
Builds generative AI solutions for radiology to automate report writing, reduce radiologist burnout, and improve patient follow-up and care across health systems and radiology practices.
Industry: HealthTech
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2018
Glassdoor
Glassdoor: 4.6
WebsiteLinkedInGlassdoor