ML Systems Engineer, Data Labeling Engineering - Early Career
General Motors1 day ago
Base Salary
$125k - $165k/yr
Responsibilities
- Develop automation, dashboards, automated quality-assurance tools, and autolabel review tooling for labeling workflows and data quality.
- Collaborate with ML engineers to design and integrate pre-labeling, autolabeling, and active-learning workflows.
- Evolve human labeling processes toward machine-led labeling at scale.
- Design, implement, and test scalable full-stack, frontend, backend, and data-oriented services and user experiences.
- Ship features that improve the speed and accuracy of labeling data for new models and cities.
- Apply production engineering practices including code review, automated testing, observability, CI/CD, and incremental delivery.
- Use AI-assisted development workflows while maintaining code and product quality.
- Partner with labelers, ML engineers, Product Operations, Product Management, Data Science, and other cross-functional teams.
Requirements
- Recently completed a bachelor’s, master’s, or PhD in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, or a related STEM field; completed degrees must have been earned within the past 9 months.
- Experience building software through coursework, internships, research, personal projects, or prior professional experience.
- Programming experience in one or more of Python, TypeScript, JavaScript, Go, Java, or C++.
- Familiarity with object-oriented design, design patterns, data structures, algorithms, API/interface design, and engineering best practices.
- Exposure to building applications, services, data pipelines, or user-facing tools in a collaborative environment.
- Ability to learn technologies, reason about technical tradeoffs, and communicate clearly with engineering and cross-functional partners.
- Preferred: graduation between December 2025 and August 2026 with availability to start employment in 2026.
- Preferred: experience with Python, TypeScript, Go, React, SQL, Redux, gRPC, GraphQL, WebGL, or similar tools.
- Preferred: familiarity with scalable system design, data modeling, observability, CI/CD, test-driven development, data labeling platforms, annotation interfaces, workflow engines, or quality systems.
- Preferred: experience with computer vision, machine learning, data-centric AI, data annotation, autolabeling, A/B testing, telemetry, observability, data-intensive applications, or visualization-heavy applications.
Benefits
- Hybrid role requiring attendance at the Sunnyvale, California office at least three times per week.
- May be eligible for relocation benefits.
- Offers bonus potential through an incentive pay program based on company, job-level, and individual performance.
- Provides employee well-being and total-rewards benefits from day one.
Tech Stack
Categories
Data EngineeringFull Stack
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.