Senior Director | Engineering, ML

Role Description

We're seeking a hands-on, technically deep Sr/Director of Engineering to lead our ML Engineering team! You will manage and grow a team of engineers who build and own the core AI/ML platform for the company, and running it at massive scale. You will also serve as a key thought partner to our Chief AI Officer, bridging the gap between data science proof-of-concepts and scalable, production-grade services.

• 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.
• 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 in coding, PR reviews, testing, observability and incident response. Keep up with the latest developments in LLM/agent advances and modern AI/ML infrastructure.

Qualifications

• 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.

Requirements

• Healthcare domain experience (Nice to Have).

Benefits

• Work from anywhere in the US! Machinify is digital-first.
• Top Medical/Dental/Vision offerings
• FSA/HSA
• Tuition reimbursement
• Competitive salary, 401(k) with company match
• Unlimited PTO
• Additional health and wellness benefits and perks
• Flexible and trusting environment where you’ll feel empowered to do your best work