Machine Learning Jobs at Zoox with Visa Sponsorship
Machine Learning jobs at Zoox involve building autonomous vehicles from the ground up, working 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
The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment. In this role, you will contribute to the development of our next-generation 3D occupancy and segmentation networks. You will architect and optimize high-performance deep learning models that generate dense, temporally consistent voxel representations of the driving environment. This work is critical for enabling our vehicle to navigate complex urban scenarios, handle rare obstacles, and drive safely in tight spaces by providing precise geometry and motion estimates to downstream planners.
ROLE AND RESPONSIBILITIES
In this role, you will...
- Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) to predict 3D occupancy, semantic segmentation, and flow.
- Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency on sparse sensor modalities.
- Engineer temporal processing modules to improve the stability and consistency of predictions over time.
- Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints.
- Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs, such as contours and free-space estimations, for complex maneuvering.
QUALIFICATIONS
- MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience.
- Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.
- Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration.
- Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.
- Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation.
BONUS QUALIFICATIONS
- Experience optimizing models for TensorRT/CUDA to achieve low-latency inference.
- Familiarity with sparse convolutions or query-based architectures for efficient 3D processing.
- Experience with Vision Language Model, or multi-modal 3D foundation model, or World Model, or VLA.
COMPENSATION
- 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.
INTRODUCTION
The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment. In this role, you will contribute to the development of our next-generation 3D occupancy and segmentation networks. You will architect and optimize high-performance deep learning models that generate dense, temporally consistent voxel representations of the driving environment. This work is critical for enabling our vehicle to navigate complex urban scenarios, handle rare obstacles, and drive safely in tight spaces by providing precise geometry and motion estimates to downstream planners.
ROLE AND RESPONSIBILITIES
In this role, you will...
- Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) to predict 3D occupancy, semantic segmentation, and flow.
- Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency on sparse sensor modalities.
- Engineer temporal processing modules to improve the stability and consistency of predictions over time.
- Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints.
- Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs, such as contours and free-space estimations, for complex maneuvering.
QUALIFICATIONS
- MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience.
- Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.
- Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration.
- Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.
- Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation.
BONUS QUALIFICATIONS
- Experience optimizing models for TensorRT/CUDA to achieve low-latency inference.
- Familiarity with sparse convolutions or query-based architectures for efficient 3D processing.
- Experience with Vision Language Model, or multi-modal 3D foundation model, or World Model, or VLA.
COMPENSATION
- 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 Machine Learning Jobs at Zoox
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at Zoox.
Get Access To All JobsTips for Finding Machine Learning Jobs at Zoox
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.
Confirm your visa type before applying
Zoox sponsors H-1B, E-3, TN, and F-1 OPT among other categories. Knowing which visa applies to your nationality lets you ask targeted questions during recruiting and avoids surprises at the offer stage.
Time OPT applications around Zoox hiring cycles
If you're on F-1 OPT, USCIS recommends filing your OPT EAD application 90 days before your program end date. Coordinating your job search so an offer arrives before your OPT window closes prevents unnecessary gaps.
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.
Understand how PERM affects long-term planning at Zoox
Zoox sponsors EB-2 and EB-3 Green Cards, which require a PERM labor certification filed with the DOL. For ML engineers from India or China, priority date backlogs make early employer conversations about Green Card timelines essential.
Frequently 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 visa (for Chilean and Singaporean nationals), E-3 visa (for Australian nationals), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1 visa, 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.