AI ML Engineer Jobs at Zoox with Visa Sponsorship
Zoox builds autonomous vehicles from the ground up, and AI ML Engineers here work on perception, prediction, and planning systems that have to perform in real-world conditions. Zoox has a consistent record of sponsoring work visas across multiple categories for this function, making it a realistic target if you need sponsorship.
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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.
See all 103+ AI ML Engineer at Zoox jobs
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Get Access To All JobsTips for Finding AI ML Engineer Jobs at Zoox Jobs
Frame your ML work around safety-critical systems
Zoox's hiring panel weighs experience in high-reliability, real-time ML systems heavily. Reframe past projects in terms of system safety, model robustness, and production deployment constraints before you apply, not after you get an interview.
Target roles tied to core autonomy stacks
Perception, motion forecasting, and sensor fusion roles at Zoox see the strongest sponsorship activity. Prioritize these over peripheral data or tooling positions if visa sponsorship is your primary constraint and you have relevant depth.
Use Migrate Mate to surface open AI ML Engineer roles at Zoox
Zoox posts AI ML Engineer openings across multiple teams and locations. Use Migrate Mate to filter for sponsorship-confirmed roles at Zoox specifically, so you're not guessing which postings will support your visa category.
Ask about H-1B cap timing during the offer stage
If you're not currently in H-1B status, your start date depends on the October 1 cap year. Raise this with the recruiter before signing, so both sides align on a realistic timeline rather than discovering the constraint post-offer.
Request a Labor Condition Application preview before your start date
The DOL-certified LCA locks in your worksite and wage level. If Zoox plans to file for a specific location, confirm that detail matches your expected team and office before the LCA is submitted to avoid amendments later.
AI ML Engineer at Zoox jobs are hiring across the US. Find yours.
Find AI ML Engineer at Zoox JobsFrequently Asked Questions
Does Zoox sponsor H-1B visas for AI ML Engineers?
Yes, Zoox sponsors H-1B visas for AI ML Engineers. The company also sponsors H-1B1, E-3, TN, and Green Card pathways including EB-2 and EB-3 categories. AI ML Engineer roles fall squarely within specialty occupation requirements given the degree-level qualifications involved, which means H-1B petitions for this function are well-supported by the role's technical nature.
How do I apply for AI ML Engineer jobs at Zoox?
Applications go through Zoox's careers portal. For visa-sponsored roles specifically, Migrate Mate filters Zoox's AI ML Engineer openings by sponsorship type so you can identify which positions are actively supporting your visa category. Tailor your application toward Zoox's autonomous vehicle stack, with emphasis on production ML systems, model deployment, and any robotics or sensor work you've done.
Which visa types does Zoox commonly use for AI ML Engineers?
Zoox supports a broad range of visa categories for this role, including H-1B, H-1B1 for Singaporean and Chilean nationals, E-3 for Australian citizens, and TN for Canadian and Mexican nationals. F-1 OPT and CPT are used for early-career candidates, and the company also sponsors immigrant visa categories including EB-2 and EB-3 for longer-term permanent residence pathways.
What qualifications does Zoox expect for AI ML Engineer roles?
Most AI ML Engineer roles at Zoox require a bachelor's degree at minimum in computer science, electrical engineering, or a closely related field, with graduate degrees preferred for research-oriented positions. Practical depth in areas like deep learning, computer vision, or probabilistic modeling matters more than credentials alone, particularly for roles tied to Zoox's perception or prediction systems where production deployment experience is closely evaluated.
How long does the visa sponsorship process take for a role at Zoox?
Timeline depends heavily on your current status. E-3 and TN visas can be processed within weeks at a consulate or port of entry. H-1B cap-subject petitions follow a fixed government schedule, with a start date no earlier than October 1 following the April lottery. USCIS premium processing reduces adjudication to 15 business days once a petition is filed, which many employers use to reduce uncertainty during onboarding.
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