Engineering Manager, ML

Cursor
San Francisco, New York
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Leadership","Coaching","Mentorship","Communication","Problem-solving","Technical collaboration","Decision-making"]

Lead a team of engineers building the infrastructure that trains, tests, and evaluates ML models. Set technical direction for model training and evaluation at scale, debug alongside your team, and partner daily with researchers to turn latency, quality, and cost tradeoffs into production-ready systems. Own rollout infrastructure for RL experiments, design evaluation pipelines to catch regressions, and hire and grow infrastructure engineers through coaching and high-leverage projects.

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FursaFursa
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2 months ago

Engineering Manager, ML

âś“ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Lead a team of engineers building the infrastructure that trains, tests, and evaluates ML models. Set technical direction for model training and evaluation at scale, debug alongside your team, and partner daily with researchers to turn latency, quality, and cost tradeoffs into production-ready systems. Own rollout infrastructure for RL experiments, design evaluation pipelines to catch regressions, and hire and grow infrastructure engineers through coaching and high-leverage projects.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead a team of engineers building infrastructure used to train, test, and evaluate ML models.
  • •Set technical direction for how models are trained and evaluated at scale.
  • •Debug alongside your team and help distinguish systems issues from model behavior.
  • •Partner with researchers to translate tradeoffs in latency, quality, and cost into infrastructure decisions.
  • •Hire, grow, and develop the team through sourcing, interviewing, coaching, mentorship, and high-leverage project assignments.

Key Requirements

  • •Have led engineering teams building infrastructure that trains, evaluates, or serves ML models in production.
  • •Have strong infrastructure and distributed systems fundamentals, including reliability and performance under real load.
  • •Stay technical and be comfortable writing code and reviewing PRs with depth.
  • •Operate effectively in ambiguity—ask the right questions and make sound decisions with incomplete information.
  • •Have a track record of hiring and developing engineers who outperform peers at their stage.
Experience:Machine learningML infrastructureDistributed systemsReinforcement learningModel evaluation
Skills:LeadershipCoachingMentorshipCommunicationProblem-solvingTechnical collaborationDecision-making

Company Brief

Cursor
Builds Cursor, an AI-powered development platform and code editor that helps developers write, review, and maintain code using large language models and developer-focused automation tools for enterprise engineering teams.
Industry: Developer Tools
Company Size: Large (251 to 1,000 employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2022
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Glassdoor: 3.0
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