ML Engineer Jobs at Zoox with Visa Sponsorship
ML Engineer jobs at Zoox involve building autonomous vehicle technology from the ground up, working 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
The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments.
As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.
ROLE AND RESPONSIBILITIES
- Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments
- Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox
- Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities
- Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline
- Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system
BASIC QUALIFICATIONS
- MS or PhD in Computer Science, Machine Learning, or related technical field
- Demonstrated experience training and deploying large language models (LLMs)
- Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation
- Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
- Experience training with large scale datasets (e.g. tens of millions of videos)
PREFERRED QUALIFICATIONS
- Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
- Experience with autonomous robotics systems
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.
ACCOMMODATIONS
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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
The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments.
As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.
ROLE AND RESPONSIBILITIES
- Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments
- Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox
- Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities
- Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline
- Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system
BASIC QUALIFICATIONS
- MS or PhD in Computer Science, Machine Learning, or related technical field
- Demonstrated experience training and deploying large language models (LLMs)
- Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation
- Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
- Experience training with large scale datasets (e.g. tens of millions of videos)
PREFERRED QUALIFICATIONS
- Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
- Experience with autonomous robotics systems
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.
ACCOMMODATIONS
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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
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.
Verify your visa type matches the role level
Zoox sponsors multiple visa categories including H-1B, E-3, TN, and OPT. Confirm which category applies to your nationality before your final interview round, since USCIS filing timelines and employer obligations differ significantly across categories.
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.
Frequently 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 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa 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.