The role involves improving the data platform for Perception model training, developing APIs, and supporting cross-team integration while mentoring junior engineers.
This team owns the data and data platform to support all Perception model training and validation, as well as system validation beyond Perception. The platform supports sample curation, data mining, data labeling, and ML dataset management. High-quality data and efficient data flywheel are central to ML model development, enabling teams to efficiently iterate and improve model performance at scale while Zoox expands its business domain.
In this role, you will improve and scale the platform, while also building new features and expanding cross-pillar adoption through Python/C++ tooling, APIs, and data engineering. Your work spans backend API development, data pipelines, and integration with model training and testing workflows, ultimately providing the infrastructure that powers data flywheel at scale.
In this role, you will:
- Work on the Data Flywheel that supports multiple Perception ML teams with data mining, labeling, and curation, to help ML teams improve model performance via better data.
- Quickly ramp up on our team’s current stack and systems, deliver solutions, and improve solutions based on other teams’ feedback
- Innovate solutions that leverage AI to drive process automation and efficiency
- Help coach more junior engineers by reviewing their design and implementation
Qualifications
- 10 YOE+
- Expert-level proficiency in Python; experienced with or feeling comfortable ramping up C++
- Strong background in high-performance computing, data processing, and software architecture design and implementation
- Experience with data query and analysis on a large data warehouse, such as Databricks
- Experience in working with AND supporting multiple teams (supporting ML teams is preferred), leading other team members
Bonus Qualifications
- Experience in ML and data-driven mode development
- Knowledge of frontend stack (JavaScript, Vue, or React.js)
- Experience in tooling/infra that supports multiple teams
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Top Skills
C++
Databricks
JavaScript
Python
React
Vue
Zoox Foster City, California, USA Office
4000 E 3rd Ave, Foster City, CA, United States, 94404
Zoox Foster City, California, USA Office
1149 Chess Drive, Foster City, CA, United States, 94404
Zoox Fremont, California, USA Office
47540 Kato Road, Fremont, CA, United States, 94538
Zoox San Francisco, California, USA Office
60 Broadway St, San Francisco, CA, United States, 94111
Similar Jobs
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
The role involves leading accessibility audits, providing expertise in accessibility standards, and collaborating with teams to ensure products are inclusive for users with disabilities.
Top Skills:
AriaAutomated Accessibility Testing ToolsAxeCSSHTMLJavaScriptJawsLighthouseNvdaTalkbackVoiceoverWaveWeb Content Accessibility Guidelines (Wcag)
Big Data • Cloud • Software • Database
The Senior Software Engineer will develop and maintain data migration services, collaborating with teams, performing code reviews, and troubleshooting issues in a data-intensive application environment.
Top Skills:
DebeziumJavaKafkaMongoDBReactSpring BootSQL
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Design and prototype intelligent systems for observability, lead reinforcement learning applications, collaborate with cross-disciplinary teams, and explore AI-driven paradigms.
Top Skills:
C++Causal ModelingGenerative AiGoPythonReinforcement LearningRust
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



