Senior Director of Engineering, ML
New
M
MachinifyHealthcare intelligence
Remote - USFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 5+ years managing teams; 8+ years backend services; 3+ years building AI/ML production-grade services
- Required Skills
- PythonJavaMachine LearningRustScala
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.
- Direct co-working with data science and engineering.
- Strong in Java, Scala, Rust, or similar backend languages, plus Python.
- Understanding of what it takes to productize ML/AI platforms — workflows, serving, observability, reliability, and scale.
- Fluent enough in data science concepts to be a real partner to DS leadership.
- Strong communicator, organized, and proactive.
- Comfortable with ambiguity and taking the initiative.
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.
- Run tight, streamlined stand-ups across engineering and data science.
- Do capacity planning for driving predictability and velocity around delivery.
- Provide leadership in ensuring the cross-functional team can utilize AI technologies to accelerate team excellence.
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