Sr. Director | Engineering, ML

Machinify
United States
Workplace: RemoteFull timeFunction: Executive & General ManagementExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Problem-solving","Collaboration","Team management"]

Lead and scale the ML engineering platform, managing a hands-on team of engineers while bridging data science concepts with production-grade services. Own architecture for AI/ML platforms, ensuring reliability, observability, and efficient delivery at scale, and partner with the Chief AI Officer and Product Manager on strategic roadmaps.

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FursaFursa
Machinify
Machinify
3 months ago

Sr. Director | Engineering, ML

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead and scale the ML engineering platform, managing a hands-on team of engineers while bridging data science concepts with production-grade services. Own architecture for AI/ML platforms, ensuring reliability, observability, and efficient delivery at scale, and partner with the Chief AI Officer and Product Manager on strategic roadmaps.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Sr. Director level

Key Responsibilities

  • •Lead and grow the AI/ML Engineering team, while coordinating execution across contributors including data scientists on collaborative projects.
  • •Design, deliver and operate the core AI/ML platform: agent frameworks, evaluation harnesses, labeling systems, document processing systems, semantic search, knowledge bases, model hosting, and more.
  • •Run AI/ML systems at scale in production with reliability, observability, performance, and incident response. Build a culture of operational excellence.
  • •Create processes to ensure proof-of-concept code from Data Science can be designed as production-grade services.
  • •Partner with the Chief AI Officer and Product Manager to build forward-looking product strategy. Drive structured thinking in ambiguity.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid LeaveFsa/hsa

Key Requirements

  • •BS or MS in Computer Science (or equivalent experience).
  • •5+ years managing teams of ~8+ engineers with hands-on technical leadership.
  • •8+ years direct hands on technical contributor in backend services experience.
  • •3+ years specifically building AI/ML production-grade services at scale for multiple use cases.
  • •Strong in Java, Scala, Rust, or similar backend languages, plus Python.
Experience:5+ yearsHealthcare
Education:Bachelor's
Skills:CommunicationLeadershipProblem-solvingCollaborationTeam management
Languages:English
Tech Stack:JavaScalaRustPython

Company Brief

Machinify
Provides AI-driven predictive maintenance and asset-monitoring solutions for manufacturing and industrial operations, using IoT sensor data and machine learning to reduce downtime, optimize performance, and extend equipment life.
Industry: Industrial Automation
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