Senior ML Systems Engineer
$175k - $261k • Sunnyvale, California, United States of America • Full-time
Posted 11d ago
Job Location
Sunnyvale, California, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models. We operate at the intersection of software engineering, data engineering, and AI/ML, defining strategies, tooling, and quality controls for reliable training data at scale. This role offers end-to-end ownership of meaningful platform components, growth toward technical leadership, and direct impact on systems enabling the next generation of autonomous vehicle capabilities.
Responsibilities
- Design, implement, and test scalable, high-performance user experiences and services using modern full-stack and/or frontend technologies.
- Develop automation and tooling to provide ML engineers with deep insight into labeling workflows and data quality, reducing iteration time.
- Collaborate with ML engineers to design and integrate ML-driven data annotation (pre-labeling, autolabeling, active learning loops).
- Use and advocate for modern AI-powered development workflows to increase velocity while maintaining quality.
- Take ownership of technical projects from problem framing through design, implementation, and rollout, driving code reviews and technical decisions.
- Work with partner teams to translate abstract requirements into concrete workflows, APIs, and UIs that meet quality, cost, and latency goals.
Requirements
- 6+ years of experience building robust distributed platforms and applications.
- Hands-on experience leveraging AI tools (agentic coding, search, documentation generators) to accelerate development.
- Proficiency in writing and reviewing high-quality, scalable, and performant full-stack code using Python, TypeScript, Go, React, SQL, Redux, GraphQL, WebGL.
- Solid understanding of relational databases, data modeling, and API design.
- Strong fundamentals in object-oriented design, design patterns, data structures, algorithms, and engineering best practices (TDD, code quality, observability, CI/CD).
- Experience developing and operating cloud-based applications.
Benefits
- Bonus Potential
- Medical insurance
- Dental insurance
- Vision insurance
- Health Savings Account
- Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation & holidays