ML Engineer Jobs at Zoox with Visa Sponsorship
Zoox builds autonomous vehicle technology from the ground up, and ML Engineers here work on perception, prediction, and planning systems that require deep learning expertise. Zoox has a consistent record of sponsoring work visas across the full spectrum of nonimmigrant and immigrant visa categories for engineering roles.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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 Zoox's autonomous software.
BASIC 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
PREFERRED 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)
COMPENSATION
- Salary Range: $151,000 - $257,000 a year
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 candidate's 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. 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.
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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
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 Zoox's autonomous software.
BASIC 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
PREFERRED 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)
COMPENSATION
- Salary Range: $151,000 - $257,000 a year
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 candidate's 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. 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.
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.
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Get Access To All JobsTips for Finding ML Engineer Jobs at Zoox Jobs
Align your ML specialty to Zoox's stack
Zoox's ML work centers on sensor fusion, 3D object detection, and behavior prediction for autonomous vehicles. Framing your resume around these domains, not generic deep learning, signals direct fit to their perception and prediction teams.
Front-load LCA questions before offer negotiation
Your employer files a Labor Condition Application with DOL before your H-1B or E-3 can proceed. Ask the recruiting coordinator early whether the posted role's prevailing wage level aligns with your target compensation, so there are no surprises at the offer stage.
Use Migrate Mate to filter open ML roles
Zoox posts ML Engineer openings across seniority levels, but not all list explicit sponsorship language. Migrate Mate filters Zoox's active job listings by visa-sponsored roles, saving you from applying to headcount that won't support your immigration status.
Prepare a portfolio of deployment-ready ML work
Zoox's interview process for ML Engineers typically includes a system design round specific to robotics or AV perception. Prepare examples of ML models you've taken from research to production, particularly in real-time inference or safety-critical environments.
Plan your OPT bridge if H-1B selection fails
If you're on F-1 OPT and miss the H-1B lottery, your 60-day grace period after OPT expiration doesn't extend your work authorization. Discuss STEM OPT extension eligibility with Zoox's immigration counsel before your OPT end date, not after lottery results.
ML Engineer at Zoox jobs are hiring across the US. Find yours.
Find ML Engineer at Zoox JobsFrequently Asked Questions
Does Zoox sponsor H-1B visas for ML Engineers?
Yes, Zoox sponsors H-1B visas for ML Engineer roles. As an autonomous vehicle company, Zoox regularly works with immigration counsel to file H-1B petitions for engineering positions. Sponsorship typically covers both the initial cap-subject petition and extensions, and Zoox has demonstrated consistent sponsorship activity across engineering functions including machine learning.
Which visa types does Zoox commonly use for ML Engineer roles?
Zoox sponsors a broad range of visa categories for ML Engineers, including H-1B, H-1B1 for Chilean and Singaporean nationals, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 for exchange visitors, and employment-based Green Card pathways such as EB-2 and EB-3. The right category depends on your nationality and career stage.
What qualifications and experience does Zoox expect for ML Engineer roles?
Zoox ML Engineer roles typically require a graduate degree in computer science, robotics, or a related field, along with hands-on experience in deep learning frameworks like PyTorch or TensorFlow. Experience in perception systems, sensor fusion, or real-time inference pipelines is highly relevant. Roles at senior levels often expect prior work in safety-critical or latency-sensitive production environments.
How do I apply for ML Engineer jobs at Zoox?
You can browse and apply for ML Engineer roles at Zoox directly through their careers page, or use Migrate Mate to filter Zoox's open positions by visa sponsorship eligibility. Applications typically require a resume, and shortlisted candidates go through recruiter screens, technical assessments covering ML fundamentals and system design, and final rounds with the hiring team.
How do I plan my timeline if Zoox is sponsoring my H-1B?
H-1B cap-subject petitions can only be filed once per year, with the registration window opening in March and employment starting no earlier than October 1. If you're starting a job search now, factor in that a successful lottery selection and USCIS approval can take six months or more. Confirm with Zoox's immigration team whether premium processing is available to shorten the adjudication window.
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