Machine Learning Engineer Visa Sponsorship Jobs in Nevada
Machine learning engineer visa sponsorship jobs in Nevada are concentrated in Las Vegas, where gaming giants like MGM Resorts and Caesars Entertainment apply ML to fraud detection, personalization, and operations. Reno's growing tech sector, anchored by Tesla's Gigafactory and data center operators, adds a second hiring hub for ML talent seeking sponsorship.
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Get Access To All JobsMission Summary:
We are seeking a Senior Engineer to join our ML Data Services team and help us build and improve data infrastructure for Autonomy ML teams. As a Senior Engineer, you will be responsible for building scalable microservices, APIs, and tooling to support Autonomy labeling needs. You will also help architect and implement scalable pipelines to process terabytes of data and deliver datasets for ML training, Simulation, and evaluation.
What you'll be doing:
- Design and implement Restful APIs and microservices for data labeling and annotations
- Architect, build and maintain scalable data processing pipelines with cloud ETL technology to deliver datasets for Autonomy teams
- Take ownership of highly-available, critical backend services and APIs that store and expose terabytes of data
- Work closely with leadership and stakeholders to define objectives, align timelines, agree on key deliverables, and build the execution plan
- Design and develop monitoring and observability services for the MLOps data service pipelines
- Mentor and teach junior engineers in the team to develop good SDLC skills and better quality code with pairing sessions
What we're looking for:
- 5+ years of software development experience with Python preferred. Relevant experience with Java or Go
- 5+ years of web backend development experience with REST APIs and microservices
- 3+ years of AWS cloud experience (e.g., DynamoDB, API Gateway, EKS, Lambda, OpenSearch, Redshift, S3)
- 3+ years of data engineering experience with AWS Step Functions, Airflow or Prefect
- Strong written and oral communication skills
- Experience working in cross-functional development teams, including quarterly road map design
- Hands-on experience using modern AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate development, refactoring, and code review
- Ability to mentor junior engineers
- BS or MS in Computer Science or related field
Bonus points (not required):
- Hands-on experience with using Ray, Beam, Spark, or related big data processing in a large-scale environment
- Experience in Docker Containerization
- Autonomous driving industry experience
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Mission Summary:
We are seeking a Senior Engineer to join our ML Data Services team and help us build and improve data infrastructure for Autonomy ML teams. As a Senior Engineer, you will be responsible for building scalable microservices, APIs, and tooling to support Autonomy labeling needs. You will also help architect and implement scalable pipelines to process terabytes of data and deliver datasets for ML training, Simulation, and evaluation.
What you'll be doing:
- Design and implement Restful APIs and microservices for data labeling and annotations
- Architect, build and maintain scalable data processing pipelines with cloud ETL technology to deliver datasets for Autonomy teams
- Take ownership of highly-available, critical backend services and APIs that store and expose terabytes of data
- Work closely with leadership and stakeholders to define objectives, align timelines, agree on key deliverables, and build the execution plan
- Design and develop monitoring and observability services for the MLOps data service pipelines
- Mentor and teach junior engineers in the team to develop good SDLC skills and better quality code with pairing sessions
What we're looking for:
- 5+ years of software development experience with Python preferred. Relevant experience with Java or Go
- 5+ years of web backend development experience with REST APIs and microservices
- 3+ years of AWS cloud experience (e.g., DynamoDB, API Gateway, EKS, Lambda, OpenSearch, Redshift, S3)
- 3+ years of data engineering experience with AWS Step Functions, Airflow or Prefect
- Strong written and oral communication skills
- Experience working in cross-functional development teams, including quarterly road map design
- Hands-on experience using modern AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate development, refactoring, and code review
- Ability to mentor junior engineers
- BS or MS in Computer Science or related field
Bonus points (not required):
- Hands-on experience with using Ray, Beam, Spark, or related big data processing in a large-scale environment
- Experience in Docker Containerization
- Autonomous driving industry experience
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Machine Learning Engineer Job Roles in Nevada
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Search Machine Learning Engineer Jobs in NevadaMachine Learning Engineer Jobs in Nevada: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Nevada?
Las Vegas-based gaming and hospitality companies including MGM Resorts International, Caesars Entertainment, and Wynn Resorts have filed H-1B visa petitions for ML and data science roles. Outside gaming, Switch (data centers), Amazon Web Services (North Las Vegas infrastructure), and Tesla's Gigafactory Nevada in Sparks have sponsored machine learning engineers. Fintech and health tech startups emerging from the Las Vegas metro are an additional source of sponsorship.
Which visa types are most common for machine learning engineer roles in Nevada?
The H-1B is the primary visa category for machine learning engineers in Nevada, as ML roles typically require at least a bachelor's degree in computer science, mathematics, or a related field, meeting the specialty occupation standard. Candidates with an outstanding research record may qualify for the O-1A. Australians can pursue the E-3 visa, and Canadian and Mexican nationals may be eligible for TN visa status under the USMCA in computer-related occupations.
Which cities in Nevada have the most machine learning engineer sponsorship jobs?
Las Vegas accounts for the majority of ML sponsorship activity in Nevada, driven by the gaming, hospitality, and fintech industries. Reno and Sparks form a secondary cluster, attracting ML talent through Tesla's Gigafactory, several large data center operators, and proximity to the University of Nevada, Reno. Henderson, a Las Vegas suburb, also hosts a growing number of tech employers that have sponsored ML roles.
How to find machine learning engineer visa sponsorship jobs in Nevada?
Migrate Mate is the most direct way to find machine learning engineer visa sponsorship jobs in Nevada. The platform filters jobs specifically by sponsorship availability, so you can focus on Nevada-based employers in gaming, data infrastructure, and tech without sifting through listings that don't support visa candidates. Searching by role and state on Migrate Mate surfaces active openings from companies with a documented history of sponsoring ML engineers.
Are there any Nevada-specific considerations for machine learning engineers seeking visa sponsorship?
Nevada has no state income tax, which affects prevailing wage benchmarking since the Department of Labor's wage calculations for Nevada are based on local cost-of-living data rather than high-cost metro figures like San Francisco or New York. The University of Nevada, Las Vegas and University of Nevada, Reno produce ML and computer science graduates, creating a local pipeline some employers draw from before sponsoring internationally. Nevada's gaming regulatory environment also means ML roles tied to algorithm development may require additional vetting by the Nevada Gaming Control Board.
What is the prevailing wage for sponsored machine learning engineer jobs in Nevada?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.