AI/ML Platform Director — Scale & Production

Machinify; United States; Remote; USD 190,000 - 270,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Tuition reimbursement

401(k) with match

Unlimited PTO

Wellness benefits

Remote-friendly

Job summary

Machinify seeks a hands-on, technically deep Sr/Director of Engineering to lead the ML Engineering team and own the core AI/ML platform at scale. You will guide engineers and data scientists, ensure production-grade delivery, and partner with leadership to shape the product direction.

You will drive reliability, observability, and performance, while translating proofs-of-concept into scalable services and maintaining a culture of proactive incident response and continuous improvement.

Qualifications

• Bachelor's or master's degree in computer science or equivalent.
• 5+ years managing teams of ~8+ engineers with hands-on leadership.
• 8+ years direct hands-on backend development experience.
• 3+ years building AI/ML production-grade services at scale.
• Strong proficiency in Java, Scala, Rust, or similar back-end languages, plus Python.
• Experience productizing ML/AI platforms with serving, observability, reliability, and scale.
• Ability to partner with DS leadership and translate proofs into production.
• Excellent communication, organization, and proactive approach.
• Comfortable with ambiguity and taking initiative.

Responsibilities

• Lead and grow the AI/ML Engineering team, coordinating execution across data scientists and engineers.
• Design, deliver and operate the core AI/ML platform including agent frameworks, evaluation harnesses, labeling systems, document processing systems, semantic search, knowledge bases, and model hosting.
• Run AI/ML systems at scale in production with reliability, observability, performance, and incident response.
• Create processes to convert proof-of-concept code from Data Science into production-grade services.
• Partner with the Chief AI Officer and Product Manager to shape product strategy and handle ambiguity.
• Run tight stand-ups across engineering and data science; plan capacity for predictable delivery.
• Maintain cross-functional collaboration to accelerate AI adoption and stay current with LLM/agent advances.

Skills

Team leadership

Backend engineering

AI/ML production systems

Java/Scala/Rust/Python

Productize ML platforms

Data science collaboration

Communication

Ambiguity tolerance

Education

BS or MS in Computer Science

Job description

Machinify seeks a hands-on, technically deep Sr/Director of Engineering to lead the ML Engineering team and own the core AI/ML platform at scale. You will guide engineers and data scientists, ensure production-grade delivery, and partner with leadership to shape the product direction.

You will drive reliability, observability, and performance, while translating proofs-of-concept into scalable services and maintaining a culture of proactive incident response and continuous improvement.