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Autonomy Engineer - ML & DL Infrastructure

San Mateo, California, United States💼 Full-time💰 $170,000–$170,000🗓 2026-05-07 → 2026-09-26

Core

Building and scaling infrastructure for deep learning and AI training to enable autonomous flight in drones.

Role type

Senior ML Infrastructure Engineer

Builds

Scalable data pipelines, annotation workflows, and ML training/deployment systems for autonomous drones

Domain

Aerospace / Autonomous Systems / Deep Learning

Deliverable

production ML models

Required skills

Data engineering, cloud-based ML platforms, containerization, ML Ops, database management, software lifecycle management, complex codebase navigation

Preferred skills

Security and compliance in ML infrastructure

Technologies

Cloud platforms, containerization tools, ML Ops platforms, databases

Responsibilities

Design and implement scalable data pipelines and annotation workflows; Build tools for data exploration and curation; Design pipelines for data ingestion, versioning, training, deployment, and monitoring; Optimize and scale deep learning training workflows

Seniority

Senior, hands-on IC

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