Senior ML Engineering Manager - Manufacturing AI

Multicoin; Los Angeles (CA); On-site; USD 249,000 - 299,000; Full time

Benefits offered by this job

Medical insurance

Relocation support

Flexible vacation policy

Equity

Job summary

Hadrian, a leader in autonomous manufacturing, seeks a Technical Data Intelligence manager in Los Angeles to build and lead a world-class ML/engineering team focused on engineering data for automation in aerospace and defense manufacturing.

You will hire, mentor, and guide engineers, while staying close to technical work to set direction and unblock critical paths in implementing data ingest, annotation tooling, and ML-based data processing at scale.

Qualifications

• 2–5+ years of engineering management experience leading machine learning engineering teams in production.
• Strong technical depth in ML, computer vision (detection/segmentation), multimodal image+text models, and/or data engineering.
• Proven ability to design team structure, headcount allocation, and growth strategies.
• Experience shipping models to production with endpoints and model health ownership.
• Excellent communication and cross-functional partnership skills with leadership.

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 when needed.
• 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

People leadership

ML engineering

Computer vision

Multimodal models

Data engineering

Job description

Hadrian, a leader in autonomous manufacturing, seeks a Technical Data Intelligence manager in Los Angeles to build and lead a world-class ML/engineering team focused on engineering data for automation in aerospace and defense manufacturing.

You will hire, mentor, and guide engineers, while staying close to technical work to set direction and unblock critical paths in implementing data ingest, annotation tooling, and ML-based data processing at scale.