Staff Machine Learning Engineer

EvenUp
San Francisco, Toronto
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Technical leadership","Mentorship","Collaboration","Problem-solving","Strategic execution"]

Set technical strategy for a major slice of the ML roadmap and turn ambiguous research and product goals into production-ready systems. Tackle frontier modeling challenges like long-context, multi-document understanding, and complex reasoning. Build and evaluate ML systems using advanced techniques (fine-tuning, reinforcement learning, retrieval) while reducing hallucinations and improving factual consistency. Serve as an ML technical anchor through mentorship, standards, and collaboration across research, engineering, product, and legal teams.

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FursaFursa
EvenUp
EvenUp
2 months ago

Staff Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 29 minutes agoStatus: Live

Job Summary

Set technical strategy for a major slice of the ML roadmap and turn ambiguous research and product goals into production-ready systems. Tackle frontier modeling challenges like long-context, multi-document understanding, and complex reasoning. Build and evaluate ML systems using advanced techniques (fine-tuning, reinforcement learning, retrieval) while reducing hallucinations and improving factual consistency. Serve as an ML technical anchor through mentorship, standards, and collaboration across research, engineering, product, and legal teams.
Location: San Francisco, Toronto
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Set technical strategy for a broad area of the ML roadmap and translate business/research goals into scoped, production-ready systems.
  • •Solve the hardest modeling problems, including complex reasoning, long-context, and multi-document understanding challenges.
  • •Apply advanced ML techniques (fine-tuning, reinforcement learning, retrieval) and choose the right approach without over-engineering.
  • •Establish rigorous evaluation standards to reduce hallucinations and improve factual consistency.
  • •Provide technical leadership and mentorship across the ML team while bridging research and production into shippable systems.

Pay and Benefits

Perks:Health InsuranceDentalVisionHome Office401kRrspPaid Parental

Key Requirements

  • •7+ years of hands-on ML engineering experience with multiple models shipped and running in production.
  • •Deep expertise in ML and NLP, including LLMs, with a track record of solving hard modeling problems.
  • •High proficiency in Python and strong command of modern ML/NLP frameworks.
  • •Ability to set technical strategy and drive execution in ambiguous, fast-moving environments.
  • •Demonstrated experience mentoring engineers and raising technical standards.
Skills:Technical leadershipMentorshipCollaborationProblem-solvingStrategic execution
Tech Stack:Machine LearningMLNLPLLMsPythonFine-tuningReinforcement learningRetrievalDocument understandingEntity/relationship extractionLoRAQLoRARLHFRLVRPrompt engineering

Company Brief

EvenUp
Develops an AI-powered Claims Intelligence Platform for personal injury law firms that automates document generation, reviews medical records, and streamlines workflows to help firms settle cases faster and secure fairer client outcomes.
Industry: LegalTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2019
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Glassdoor: 3.1
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