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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INTRODUCTION
Within the System Behavior Analysis (SBA) organization, the Behavioral Automated Triage (BAT) team builds the ML, deep learning, and data pipelines that help Zoox understand and triage failures our robots encounter on the road. You will build agentic, LLM-powered triage systems and run them in production, keeping pipelines healthy that teams across Zoox use daily, while working closely with stakeholders across safety, planning, and quality assurance.
ROLE AND RESPONSIBILITIES
Design and improve ML/DL algorithms on large-scale data to automate test and triage workflows.
Build and run agentic LLM systems (e.g., Claude or Gemini) that automate triage, from prototype to production.
Run multiple production pipelines: monitor them, respond to issues, and fix the root causes.
Work with stakeholders across data science, ML, autonomous drive planning, and quality assurance.
* Build monitoring tools and use them to keep improving your algorithms in production.
BASIC QUALIFICATIONS
PhD or Master's in a STEM field and 4+ years in Triage, Performance Analytics, for fortune 500 including infrastructure as code, ML, NLP, or deep learning.
Strong productionization, CI/CD experience for medium to large projects Python, with a solid grasp of dashboards, eval, algorithms and data manipulation.
Experience with RAG, PyTorch, TensorFlow, or HuggingFace.
Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.
* Has run multiple production pipelines on platforms like Databricks and AWS, including fixing production issues.
PREFERRED QUALIFICATIONS
Experience with self correcting models, installation and maintenance of LLMs, data visualization tools like Looker/Dash/Databricks Dashboards.
Experience in Performance Monitoring at Scale, Support environments, autonomous driving, robotics.
* Strong verbal and written communication skills.
COMPENSATION
- Base Salary Range: $166,000 - $234,000 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.
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.
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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.