Machine Learning Jobs at Zoox with Visa Sponsorship
Zoox is building autonomous vehicles from the ground up, and its Machine Learning team works across perception, prediction, and planning systems. Zoox has an established track record of sponsoring work visas for ML engineers, making it a viable target for international candidates.
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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 111+ Machine Learning at Zoox jobs
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Get Access To All JobsTips for Finding Machine Learning Jobs at Zoox Jobs
Tailor your portfolio to autonomous systems
Zoox hires ML engineers to solve problems in perception, sensor fusion, and motion prediction. Projects or publications involving LiDAR data, trajectory forecasting, or real-time inference will read as directly relevant to their hiring team.
Ask specifically about internal H-1B transfer timelines
If you already hold an H-1B with another employer, Zoox can file an H-1B transfer and you're authorized to start on the receipt notice. Confirm this with the recruiter early so your start date doesn't get delayed by processing assumptions.
Use Migrate Mate to surface active ML openings at Zoox
ML roles at Zoox span perception, simulation, and autonomy planning, and they don't all carry identical titles. Use Migrate Mate to filter Zoox's open positions by role function and confirmed sponsorship so you're applying to the right listings.
Machine Learning at Zoox jobs are hiring across the US. Find yours.
Find Machine Learning at Zoox JobsFrequently Asked Questions
Does Zoox sponsor H-1B visas for Machine Learning roles?
Yes, Zoox sponsors H-1B visas for Machine Learning positions. The company has a consistent history of filing H-1B petitions for technical roles including ML engineers. If you're already on an H-1B with another employer, Zoox can file a transfer petition, and you're generally authorized to begin work once USCIS issues a receipt notice.
Which visa types does Zoox commonly sponsor for Machine Learning positions?
Zoox sponsors a wide range of visa categories for ML roles, including H-1B, H-1B1 (for Chilean and Singaporean nationals), E-3 (for Australian nationals), TN (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1, and immigrant pathways including EB-2 and EB-3 Green Cards. The right category depends on your nationality and current immigration status.
What qualifications does Zoox expect for Machine Learning roles?
Zoox ML roles typically require a graduate degree in computer science, electrical engineering, robotics, or a closely related field, along with hands-on experience in deep learning frameworks such as PyTorch or TensorFlow. For senior roles, published research or production experience in perception, prediction, or planning systems is commonly expected. Familiarity with sensor data pipelines, particularly LiDAR and camera fusion, is a recurring requirement across their ML job postings.
How do I apply for Machine Learning jobs at Zoox?
You can browse and apply for Machine Learning openings at Zoox directly through their careers page, or use Migrate Mate to filter Zoox positions by role type and confirmed visa sponsorship. When applying, align your resume and portfolio to Zoox's autonomous vehicle focus, specifically perception, simulation, or planning systems. Recruiting timelines for ML roles can run eight to twelve weeks from initial screen to offer.
How do I plan my visa timeline when targeting a Machine Learning role at Zoox?
Timeline planning depends on your current status. F-1 OPT applicants should file the EAD with USCIS up to 90 days before their program end date to avoid work authorization gaps. H-1B cap-subject candidates need an offer in place before the April lottery registration window. E-3 and TN holders can typically move faster since those categories are not lottery-dependent and can be processed at the consulate or port of entry.
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