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Senior ML Systems Engineer
General MotorsPosted 10/20/2026full-timeSunnyvale • California • United StatesSenior💰 $174,900 - $261,300 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building scalable, high-performance applications with a strong focus on full-stack development using Python, TypeScript, and React. Proficient in leveraging AI tools and collaborating across teams to enhance data labeling workflows and product features.
Highest-signal resume keywords
Full-Stack DevelopmentAI Tools ProficiencyCloud-Based ApplicationsDistributed Platforms ExperienceData Labeling Tools Familiarity
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, implement, test, and operate scalable, high-performance labeling experiences and services
- Ship full-stack features affecting data-labeling speed and accuracy for new models and cities
- Develop automation and tooling for insight into labeling workflows and data quality
- Build efficiency dashboards, auto-QA, and autolabel review tools
- Collaborate with ML engineers on pre-labeling, autolabeling, and active learning loops
- Use and advocate for AI-powered development workflows, including code assistants, automated documentation, and test generation
- Own technical projects from problem framing through design, implementation, and rollout
- Drive code reviews, design discussions, and technical decisions
- Collaborate with ML, Operations, Product, Data Science, and platform teams
- Translate requirements into workflows, APIs, and UIs meeting quality, cost, and latency goals
Requirements
What you’ll need- 6+ years of experience building robust distributed platforms and applications
- Hands-on experience leveraging AI tools such as agentic coding, search, and documentation generators
- Proficiency writing and reviewing scalable, performant full-stack code using Python, TypeScript, Go, React, SQL, Redux, GraphQL, and WebGL
- Understanding of relational databases, data modeling, and API design
- Strong fundamentals in object-oriented design, design patterns, data structures, algorithms, TDD, code quality, observability, and CI/CD
- Experience developing and operating cloud-based applications
- Experience shipping and operating end-to-end products or features in production
- Willingness to learn technologies across frontend, backend, and data/ML-adjacent systems
- Strong communication and collaboration skills
- Ability to explain tradeoffs, influence peers, and work through ambiguity
- Experience with modern web APIs such as Service Workers, Cache Storage, and IndexedDB is a competitive edge
- Experience with computer vision, machine learning, or data-centric AI projects is a competitive edge
- Familiarity with data labeling platforms or tools is a competitive edge
- Experience with A/B testing and telemetry/observability systems is a competitive edge
Benefits
Comp & perks- Bonus potential through an incentive pay program based on company, job-level, and individual performance
- Medical, dental, and vision benefits
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation and holidays
- Hybrid work arrangement
- Relocation benefits for qualifying candidates
- Travel required under 25%
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptGoReactSQLReduxGraphQLWebGLObject-Oriented DesignCI/CD
Soft Skills
Strong CommunicationCollaboration SkillsAbility to Explain Tradeoffs
Tools & Technologies
Automation ToolsEfficiency DashboardsTelemetry SystemsA/B Testing ToolsData Labeling Platforms
Industry Keywords
Machine LearningComputer VisionData-Centric AIRelational DatabasesAPI Design