Director | Engineering, ML

machinifyinc; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

FSA/HSA options

401(k) with company match

Paid time off

Wellness benefits

Equity

Job summary

machinifyinc is seeking a leader to drive an engineering team building and operating a production AI/ML platform. You will combine hands-on technical direction with team development and partner with data science and product teams to scale services across multiple use cases.

You will manage a growing ML engineering group, shape platform capabilities, and set production practices for reliability and observability. Strong communication and a CS degree are expected.

Qualifications

• At least five years managing engineering teams of roughly eight or more, with hands-on leadership.
• Eight+ years backend engineering experience as an individual contributor.
• Three+ years building production AI/ML services at scale across multiple use cases.
• Strong backend experience in Java, Scala, or Rust, plus Python.
• Ability to partner with data science leadership and communicate clearly.

Responsibilities

• Lead and grow the ML engineering team, coordinating delivery with data scientists and contributors.
• Design, build, and operate platform capabilities for AI/ML services.
• Establish production practices for reliability, observability, and incident response.
• Translate prototypes into maintainable production services.
• Collaborate with AI and product leadership on platform direction and risks.
• Plan capacity and delivery across engineering and data science teams.

Skills

Team management

Backend engineering

Production AI/ML services

Java/Scala/Rust

Python

Data science collaboration

Clear communication

Education

Computer science degree or equivalent

Job description

Role overview

Lead an engineering team responsible for building and operating a production AI and machine learning platform. The role combines hands-on technical direction, team development, and coordination with data science and product partners to turn experiments into dependable services that can serve multiple use cases at scale.

Responsibilities

• Lead and grow the ML engineering team, coordinating delivery with data scientists and other contributors.
• Design, build, and operate platform capabilities such as agent frameworks, evaluation tools, labeling workflows, document processing, semantic search, knowledge bases, and model hosting.
• Establish production practices for reliability, observability, performance, and incident response.
• Create processes that help translate data science prototypes into maintainable production services.
• Partner with AI and product leadership on platform and product direction, clarifying ambiguous problems and surfacing risks early.
• Plan capacity and delivery across engineering and data science, and encourage effective use of AI tools in development, reviews, testing, and operations.

Requirements

• At least five years managing engineering teams of roughly eight or more, with hands‑on technical leadership.
• Eight or more years of backend engineering experience as an individual contributor.
• At least three years building production AI or ML services at scale across multiple use cases, working closely with data science and engineering.
• Strong experience in a backend language such as Java, Scala, or Rust, as well as Python.
• Understanding of the workflows, model serving, observability, reliability, and scaling needs of AI/ML platforms.
• Enough fluency in data science concepts to partner with data science leadership, plus clear communication and comfort working through ambiguity.
• Computer science degree or equivalent experience.

Nice to have

• Healthcare industry experience.

Benefits and work setup

Work from anywhere in the United States in a digital-first environment.

• Benefits include medical, dental and vision coverage, FSA/HSA options, tuition reimbursement, a 401(k) with company match, paid time off, wellness benefits, and equity.

Compensation varies with experience, skills, and level.