ML Engineering Manager - Hands-on Manufacturing Data

Multicoin; Los Angeles (CA); On-site; USD 213,000 - 255,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401k

Relocation support

Flexible vacation

Equity

Job summary

Hadrian is building autonomous factories to reindustrialize America, combining AI, software, robotics and full‑stack manufacturing to accelerate mission‑critical programs. We are hiring a Technical Data Intelligence leader who will manage engineers focused on making engineering data legible for automation and factory planning.

You will hire, mentor, and guide a world-class team while staying close to technical work to shape direction, architecture, and staffing for impactful projects in

Qualifications

• 2-5+ years of engineering management experience leading machine learning engineering teams in production.
• Strong judgment on organizational design and headcount allocation for growing stacks.
• Production deployment ownership with responsibility for endpoint and model health.

Responsibilities

• Own the people leadership of your engineers: hiring, onboarding, mentorship, career growth, and performance.
• Stay technically hands-on as a player-coach: participate in design reviews and contribute directly to the work.
• Set technical direction and headcount investments in partnership with engineers and leads.
• Build and maintain annotation tooling, implement active learning loops, and engineer data augmentation strategies.
• Ensure engineers are engaged, growing, and set up to do their best work.

Skills

Engineering management

Machine learning

Computer vision

Data engineering

Team leadership

Tools

Python

Model deployment

ML tooling

Job description

Hadrian is building autonomous factories to reindustrialize America, combining AI, software, robotics and full‑stack manufacturing to accelerate mission‑critical programs. We are hiring a Technical Data Intelligence leader who will manage engineers focused on making engineering data legible for automation and factory planning.

You will hire, mentor, and guide a world-class team while staying close to technical work to shape direction, architecture, and staffing for impactful projects in