Machine Learning Jobs at Nuro with Visa Sponsorship
Machine Learning jobs at Nuro span autonomous vehicle perception, prediction, and planning systems, with a consistent track record of sponsoring international talent across multiple visa categories. If you're an ML engineer or researcher targeting a role in robotics and autonomy, Nuro actively supports the sponsorship process from offer through filing.
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Get Access To All JobsWho We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.
About the Role
Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.
The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.
About the Work
- Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
- Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
- Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
- Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
- Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping.
- Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels.
- Scale data annotation labels with applied State-of-the-art ML techniques.
About You
- You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience.
- Strong proficiency in Python or similar languages.
- Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems.
- Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers.
- Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization.
- A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field.
Bonus Points
- Strong proficiency in C++ or other high-performance low-level languages.
- Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL.
- Knowledge of data engineering, and its tooling and best practices.
- Knowledge of batch and streaming data processing, warehousing, and analytics solutions.
- Experience working with large-scale distributed data systems.
- Experience with system & framework design.
- Experience with data workflow orchestration platforms.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
Who We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.
About the Role
Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.
The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.
About the Work
- Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
- Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
- Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
- Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
- Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping.
- Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels.
- Scale data annotation labels with applied State-of-the-art ML techniques.
About You
- You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience.
- Strong proficiency in Python or similar languages.
- Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems.
- Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers.
- Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization.
- A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field.
Bonus Points
- Strong proficiency in C++ or other high-performance low-level languages.
- Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL.
- Knowledge of data engineering, and its tooling and best practices.
- Knowledge of batch and streaming data processing, warehousing, and analytics solutions.
- Experience working with large-scale distributed data systems.
- Experience with system & framework design.
- Experience with data workflow orchestration platforms.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
Tips for Finding Machine Learning Jobs at Nuro
Tailor your portfolio to autonomy-specific ML
Nuro's ML work centers on real-world robotics, not general-purpose AI products. Highlight experience with perception systems, sensor fusion, or reinforcement learning in physical environments. Generic NLP or recommendation system projects will carry less weight than applied robotics research.
Verify your OPT timeline before applying
If you're on F-1 OPT, confirm how many months remain before your start date. Nuro's hiring pipeline can run several months, and starting a role with under 90 days of OPT remaining creates STEM OPT extension pressure before you've settled in.
Clarify H-1B cap timing at the offer stage
H-1B cap filings open in March for an October 1 start. If you receive an offer outside that window, ask your recruiter whether Nuro will bridge you on OPT or another status until the next cap season begins.
Use Migrate Mate to find open ML roles at Nuro
Nuro posts Machine Learning positions across multiple platforms, but roles requiring sponsorship aren't always flagged clearly. Use Migrate Mate to filter specifically for Nuro ML jobs that align with your visa type, so you're targeting positions where your status is already expected.
Prepare for DOL prevailing wage scrutiny on ML titles
Job titles like 'Machine Learning Engineer' and 'Research Scientist' fall into different DOL wage levels. Confirm which level your role is classified at before signing, as mismatches between your title, duties, and wage level are a common source of H-1B RFEs.
Align your degree field to the specialty occupation standard
USCIS requires that your degree field directly relate to the ML role's duties. A degree in computer science, statistics, or electrical engineering maps cleanly. If yours is adjacent, prepare a credential evaluation that draws an explicit connection to the position's technical requirements.
Frequently Asked Questions
Does Nuro sponsor H-1B visas for Machine Learnings?
Yes, Nuro sponsors H-1B visas for Machine Learning roles. The company has an established pattern of filing H-1B petitions for technical positions across its autonomy and robotics engineering teams. If you're a cap-subject candidate, sponsorship is typically tied to the annual USCIS lottery cycle, with filings submitted in March for an October 1 start date.
How do I apply for Machine Learning jobs at Nuro?
Applications go through Nuro's careers portal. For international candidates, the most practical first step is filtering for roles where sponsorship is explicitly supported. Migrate Mate lets you browse Nuro's open Machine Learning positions filtered by visa type, so you can focus on roles that match your authorization status before applying directly through Nuro's site.
Which visa types does Nuro commonly use for Machine Learning roles?
Nuro supports several visa categories for Machine Learning hires, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, TN visa for Canadian and Mexican candidates, F-1 OPT and CPT for students, J-1 visa for exchange visitors, and employment-based Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, degree level, and where you are in your career.
What qualifications does Nuro expect for Machine Learning roles?
Nuro's ML positions typically require a graduate degree in computer science, statistics, electrical engineering, or a related quantitative field, along with hands-on experience in areas like perception, prediction modeling, or deep learning for physical systems. Research publications or prior work in robotics or autonomous vehicles strengthens an application significantly, particularly for senior or research-track roles.
How do I time my application around the H-1B filing calendar?
USCIS opens H-1B cap registrations in March each year, with approved petitions taking effect October 1. If you're targeting Nuro and currently on F-1 OPT, plan to have an offer in place before February to give your employer enough runway to register you. STEM OPT extensions provide up to 24 additional months of work authorization, which can bridge two full lottery cycles if needed.