Senior ML Engineer Jobs at Zoox with Visa Sponsorship
Senior ML Engineer jobs at Zoox involve working on perception, prediction, and planning systems that push the boundaries of what autonomous tech can do, as the company builds autonomous vehicles from the ground up. Zoox has an established track record of sponsoring work visas across multiple categories for this function.
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Get Access To All JobsZoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible.
The Opportunity
Would you like to be part of the ML Training platform team that enables autonomous driving, driving scenario understanding, learned planning and trajectories, large scale driving simulations and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox - Foundation Models, Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
The ML Training platform team builds and operates the core part of the ML platform that powers model training at scale. We are responsible for developing and operating ML tools, deep learning frameworks, and distributed model training infrastructure to support foundational models and reinforcement learning. This team also owns the model repository and model lifecycle management tools used by our applied research teams for in- and off-vehicle ML use cases. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains.
In this role, you will:
- Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
- Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
- Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.
Qualifications
- 2+ years of ML infrastructure experience.
- Experience with training frameworks like PyTorch, DeepSpeed, JAX, Ray, etc.
- Experience working with cloud providers like AWS.
Bonus Qualifications
- Experience with building large-scale, cost-efficient distributed model training and ML compute infrastructure.
- Experience with building model lifecycle management tools and experimentation.
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 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.
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible.
The Opportunity
Would you like to be part of the ML Training platform team that enables autonomous driving, driving scenario understanding, learned planning and trajectories, large scale driving simulations and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox - Foundation Models, Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
The ML Training platform team builds and operates the core part of the ML platform that powers model training at scale. We are responsible for developing and operating ML tools, deep learning frameworks, and distributed model training infrastructure to support foundational models and reinforcement learning. This team also owns the model repository and model lifecycle management tools used by our applied research teams for in- and off-vehicle ML use cases. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains.
In this role, you will:
- Build the Zoox Training framework leveraged by all ML teams within Zoox. This framework needs to be highly scalable, reliable, and efficient.
- Design, implement, and operate a robust and efficient ML platform to enable the training, validation, serving, and monitoring of ML models.
- Collaborate closely with cross-functional teams, including ML researchers, software engineers, and data engineers, to define requirements and align on architectural decisions.
Qualifications
- 2+ years of ML infrastructure experience.
- Experience with training frameworks like PyTorch, DeepSpeed, JAX, Ray, etc.
- Experience working with cloud providers like AWS.
Bonus Qualifications
- Experience with building large-scale, cost-efficient distributed model training and ML compute infrastructure.
- Experience with building model lifecycle management tools and experimentation.
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 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.
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 44+ Senior ML Engineer Jobs at Zoox
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior ML Engineer Jobs at Zoox.
Get Access To All JobsTips for Finding Senior ML Engineer Jobs at Zoox
Align your portfolio to autonomy-specific ML
Zoox evaluates Senior ML Engineers on experience with real-world perception, sensor fusion, or motion planning systems. Frame your projects around production-deployed models at scale, not academic benchmarks or general-purpose NLP or recommendation systems.
Verify your visa type before applying
Zoox sponsors several visa categories for this role. Confirming which category fits your situation before outreach saves weeks. Australian citizens should ask specifically about E-3 eligibility, which bypasses the H-1B lottery entirely.
Request LCA filing details early in offer negotiation
Your employer files a Labor Condition Application with DOL before your H-1B petition can move forward. Ask your Zoox recruiter which prevailing wage level the role is classified under, since Senior ML Engineer positions can span Level II through Level IV depending on scope.
Prepare for multi-round technical depth on ML systems
Zoox interviews for this level typically involve system design for real-time inference pipelines and debugging live model failures, not just coding exercises. Strong candidates walk through production trade-offs, latency constraints, and how they've handled distribution shift in deployed environments.
Use Migrate Mate to filter open roles by sponsorship type
Not every Senior ML Engineer opening at Zoox is posted with clear sponsorship details. Use Migrate Mate to browse current openings filtered by the visa categories Zoox actively supports, so you can target the right positions from the start.
Account for H-1B cap timing in your job search plan
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start date. If you're on F-1 OPT, confirm your OPT end date allows enough runway to cover the gap between a Zoox offer and your H-1B approval taking effect.
Frequently Asked Questions
Does Zoox sponsor H-1B visas for Senior ML Engineers?
Yes, Zoox sponsors H-1B visas for Senior ML Engineers. The company participates in the annual H-1B cap registration process and also supports cap-exempt scenarios where applicable. If you're already in H-1B status with another employer, Zoox can file an H-1B transfer, which lets you start working as soon as USCIS receives the petition.
Which visa types does Zoox commonly sponsor for Senior ML Engineers?
Zoox sponsors a range of visa categories for this role, 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 Cards through EB-2 and EB-3 pathways. The right category depends on your nationality and current immigration status.
How do I apply for Senior ML Engineer jobs at Zoox?
Applications go through Zoox's careers portal, where Senior ML Engineer roles are listed by team and focus area, covering perception, prediction, planning, and infrastructure. Tailoring your resume to reflect autonomous systems experience improves your chances of clearing the initial screen. You can also browse current openings filtered by sponsorship eligibility on Migrate Mate before applying directly.
What qualifications does Zoox expect for Senior ML Engineer roles?
Zoox typically looks for a graduate degree in machine learning, computer science, or a related engineering field, combined with hands-on experience deploying ML models in production at scale. For the senior level specifically, experience with real-time inference, sensor data pipelines, or safety-critical systems in automotive or robotics environments is a strong differentiator over general-purpose ML backgrounds.
How do I plan my timeline if I need visa sponsorship for a Zoox offer?
Timeline depends on your visa category. E-3 and TN visas can move quickly, sometimes within weeks of an offer, since neither requires lottery registration. H-1B petitions filed under cap require USCIS registration in March for an October 1 start, so a spring offer may mean a multi-month wait. Premium processing is available for H-1B petitions and reduces USCIS adjudication to 15 business days.