[Remote] Senior ML Systems Engineer

Note: The job is a remote job and is open to candidates in USA. General Motors develops technologies for safer, more equitable mobility, including autonomous vehicle capabilities. The Senior ML Systems Engineer will build and operate scalable data-labeling tools and pipelines, apply machine learning to annotation workflows, and own projects end to end across the autonomous vehicle stack.

Responsibilities

• Design, implement, and test scalable, high-performance user experiences and services using modern full-stack and/or frontend technologies. You’ll ship features spanning multiple surface-areas that directly affect how quickly and accurately we can label data for new models and cities
• Develop automation and tooling that give ML engineers deep insight into labeling workflows and data quality (e.g., efficiency dashboards, auto‑QA, autolabel review tools), reducing iteration time from idea to trained model
• Collaborate with ML engineers to design and integrate ML‑driven data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from human‑only to machine‑led labeling at scale
• Use and advocate for modern AI‑powered development workflows (code assistants, automated documentation, test generation, etc.) to increase velocity while maintaining quality
• Take ownership of technical projects from problem framing through design, implementation, and rollout. Drive code reviews, design discussions, and technical decisions
• Work with partner teams (ML, Ops, Product, Data Science, other platform teams) to translate abstract requirements into concrete workflows, APIs, and UIs that hit quality, cost, and latency goals

Skills

• Passionate about self‑driving technology and its potential to transform safety, mobility, and the driving experience
• Driven to learn new technologies and deepen your expertise across frontend, backend, and data/ML‑adjacent systems
• Proven experience shipping and operating end‑to‑end products or features in production
• Strong communication and collaboration skills; you can explain tradeoffs, influence peers, and work through ambiguity with cross‑functional partners
• Empathetic to user challenges (from labelers to ML engineers to Ops) and excited to turn messy workflows into simple, intuitive tools
• 6+ years of experience building robust distributed platforms and applications.
• Hands-on experience leveraging AI tools(agentic coding, search, documentation generators, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities
• Proficiency in writing and reviewing high‑quality, scalable, and performant full-stack code using technologies and languages like Python, TypeScript, Go, React, SQL, Redux, GraphQL, WebGL.
• Solid understanding of relational databases, data modeling, and API design.
• Strong fundamentals in object‑oriented design and design patterns, data structures, algorithms, and engineering best practices (TDD, code quality, observability, CI/CD)
• Experience developing and operating cloud‑based applications.
• This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}
• The selected candidate will be required to travel
• This job may be eligible for relocation benefits
• Experience using modern web APIs (Service Workers, Cache Storage, IndexedDB, etc.) in data‑intensive or visualization‑heavy applications
• A track record of close collaboration with customers, product managers, designers, and user experience researchers.
• Experience with computer vision, machine learning, or data‑centric AI projects — especially where labeled data, data quality, or autolabeling loops were central to the work
• Familiarity with data labeling platformsor tools used by large labeling workforces (e.g., annotation UIs, workflow engines, quality systems)
• Experience with A/B testing and telemetry/observability systems to measure impact and reliability
• Proficiency in writing and reviewing high‑quality, scalable, and performant code using TypeScript, React, Redux, GraphQL, WebGL, or similar frontend technologies

Benefits

• An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Medical benefits
• Dental benefits
• Vision benefits
• Health Savings Account
• Flexible Spending Accounts
• Retirement savings plan
• Sickness and accident benefits
• Life insurance
• Paid vacation & holidays
• This role is categorized as hybrid. The selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
• This job may be eligible for relocation benefits.

Company Overview

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