ML Systems Engineer
Core
Design, build, and operate high-quality hybrid human/machine labeling tools and pipelines that power autonomous vehicle machine learning models.
Role type
Senior full-stack ML Systems Engineer (Data Labeling)
Builds
Scalable labeling experiences, automation tooling for ML teams, and ML-driven data annotation solutions for self-driving cars.
Domain
Autonomous Vehicles / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
TypeScript, React, GraphQL, Python, Golang, relational databases, API design, object-oriented design, cloud-based application development, A/B testing, telemetry/observability
Preferred skills
Service Workers, Cache Storage, IndexedDB, computer vision, machine learning, data-centric AI projects, data labeling platforms
Technologies
TypeScript, React, Redux, GraphQL, WebGL, Airflow, Airflow, Service Workers, Cache Storage, IndexedDB
Responsibilities
Design and implement scalable, high-performance user experiences and services; Develop automation and tooling for labeling workflows and data quality; Collaborate with ML engineers to integrate ML-driven data annotation; Own technical projects end-to-end from design to rollout; Translate abstract requirements into concrete workflows, APIs, and UIs; Advocate for modern AI-powered development workflows.
Seniority
Senior, hands-on IC
