Senior ML Research Scientist

Rad AI
San Francisco
Workplace: RemoteFull timeUSD 170,000 - 220,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: mastersSkills: ["Collaboration","Clear communication","Mentorship","Ownership","Technical judgment"]

Own a multimodal ML workstream from problem definition through experimentation, evaluation, deployment, and iteration for AI that supports real radiology workflows. Translate clinical and product needs into ML objectives, data strategies, and success criteria, building and evaluating systems using transformers, self-supervised and weak supervision methods. Design rigorous, clinically meaningful evaluations, productionize with engineering, investigate failure modes, and mentor researchers while communicating decisions to technical and clinical partners.

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FursaFursa
Rad AI
Rad AI
1 day ago

Senior ML Research Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Own a multimodal ML workstream from problem definition through experimentation, evaluation, deployment, and iteration for AI that supports real radiology workflows. Translate clinical and product needs into ML objectives, data strategies, and success criteria, building and evaluating systems using transformers, self-supervised and weak supervision methods. Design rigorous, clinically meaningful evaluations, productionize with engineering, investigate failure modes, and mentor researchers while communicating decisions to technical and clinical partners.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own a multimodal ML work-stream from problem definition through experimentation, evaluation, deployment, and iteration.
  • •Translate clinical and product needs into ML objectives, data strategies, model approaches, and success criteria.
  • •Build and evaluate modern ML systems (e.g., transformers, self-supervised learning, weak supervision, detection/localization/segmentation).
  • •Design rigorous evaluations beyond aggregate offline metrics, including robustness, calibration, and performance across data slices.
  • •Partner with engineering to productionize models, assess tradeoffs post-launch, investigate failure modes, and communicate findings and decisions clearly.

Pay and Benefits

Salary: USD 170,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife Insurance401kPaid LeaveHsaFsaEquipment Stipend

Key Requirements

  • •4+ years of relevant applied ML research or engineering experience (calibrated on demonstrated ownership and impact).
  • •Strong applied experience in computer vision, NLP, or deep learning with a track record of designing experiments, analyzing results, and shipping working systems.
  • •Deep hands-on ability in Python and PyTorch, with strong intuition for model architecture, data quality, experimentation, and evaluation.
  • •Experience owning ML projects across the full lifecycle from data and modeling through production delivery.
  • •An MS, PhD, or equivalent practical experience in Computer Science, Electrical Engineering, Machine Learning, Biomedical Engineering, or a related quantitative field.
Experience:4+ yearsHealthcareMedical imagingRadiologyGenerative AI
Education:Master's
Skills:CollaborationClear communicationMentorshipOwnershipTechnical judgment
Tech Stack:PythonPyTorchTransformersVision transformersContrastive learningMasked image modelingWeak supervisionSelf-supervised learningDICOMHIPAAFDA

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
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