Machine Learning Engineer, Simulation Scenario Generation
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Job Location:
Foster, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Do you enjoy applying machine learning to complex real-world problems in autonomous vehicle testing The Simulation Scenario Authoring team owns the formats and tools used to create synthetic simulation scenarios. We are looking for a hands-on ML Engineer to integrate implement and optimize our next-generation AV scenario generation workflow. This ranges from extending our AI assistant to advancing toward full scenario creation automation from natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation.
In this role you will:
- Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows leveraging techniques like advanced prompting agentic tool use and more.
- Contribute to tooling for AI-based scenario understanding and validation.
- Collect data and design metrics to drive business intelligence product iteration and model fine-tuning.
- Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows.
- Directly contribute to the safety and reliability of Zooxs autonomous software.
Qualifications
- MS or PhD in Computer Science Machine Learning or related field
- 2 years of industry experience in Machine Learning
- Solid understanding of LLM or NLP concepts
- Proficiency in Python and ML libraries (PyTorch NumPy) demonstrated through professional or research projects
Bonus Qualifications
- Practical experience in dataset creation for fine-tuning system integration of ML models into production or optimization techniques for low-latency inference systems
- Familiarity with autonomous vehicles robotics and/or complex simulation environments
- Hands-on experience in areas like program synthesis diffusion models and/or formal methods/V&V
- Relevant publications in conferences (e.g. CVPR ICCV RSS and/or ICRA)
$151000 - $257000 a year
Base Salary Range
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to emailprotected or your assigned recruiter.
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Key Skills
- Sales Experience
- Door-to-Door Experience
- B2B Sales
- Time Management
- Marketing
- Cold Calling
- Salesforce
- Inside Sales
- Telemarketing
- Customer relationship management
- CRM Software
- Lead Generation
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
