As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.
The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems.
As a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.
In this role, you will:
- Curate, validate, and label datasets for model training and validation
- Research, implement, and train ML models to perform semantic map element detection
- Closely collaborate with validation teams to formulate and execute model validation pipelines
- Integrate models into the greater onboard autonomy system within compute budgets
- Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions
Qualifications:
- MS or PhD or equivalent experience (5+ years) in Computer Science or related field
- Experience in computer vision or robotics
- Experience with training and deploying deep learning models
- Experience with with Python libraries (pytorch, numpy)
Bonus Qualifications:
- Experience with C++
- Experience with CUDA and/or GPU programming
- Experience with mapping related ML techniques
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
.png)
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
Design, build, test, and maintain scalable backend services and production-grade applications. Collaborate with product managers and engineers, participate in code reviews, troubleshoot and optimize performance, support system reliability and monitoring, and contribute to architecture and documentation in an agile, mission-driven environment.
Top Skills:
AWSDockerGoKubernetesPython
eCommerce • Fashion • Retail • Sales • Wearables • Design
Serve customers by providing styling advice, demonstrating product knowledge, driving sales through storytelling and add-on suggestions, maintaining stockroom and POS operations, and supporting floor presentation. Work flexible retail hours and perform physical tasks including lifting and stockroom duties.
Consumer Web • eCommerce • Internet of Things
Lead product marketing for DNSid: define positioning, messaging, buyer personas, and GTM. Create sales enablement, launch plans, customer stories, and competitive insights. Partner cross-functionally to translate technical innovation into commercial value and establish repeatable launch and enablement processes to drive adoption.
Top Skills:
AICloudCybersecurityDeveloper PlatformsIdentity
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
