AI ML Engineering Visa Sponsorship Jobs in Nevada
Nevada's AI and ML engineering job market is anchored by Las Vegas tech operations, gaming analytics firms, and a growing number of data-driven startups. Major employers including Switch, Caesars Entertainment, and regional cloud infrastructure companies actively hire for these roles. International candidates will find H-1B visa sponsorship is the predominant pathway for AI and ML engineering positions here.
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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.
AI ML Engineering Job Roles in Nevada
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Search AI ML Engineering Jobs in NevadaAI ML Engineering Jobs in Nevada: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Nevada?
Las Vegas-based employers with established tech operations are the most consistent sponsors. Switch, the data center company headquartered in Las Vegas, hires ML infrastructure engineers and has sponsored H-1B workers. Gaming and hospitality giants like Caesars Entertainment and MGM Resorts have data science and AI engineering teams that have filed LCAs for these roles. Smaller fintech and analytics startups in the Las Vegas metro also sponsor, though less frequently than larger enterprises.
Which visa types are most common for AI ML engineering roles in Nevada?
The H-1B is by far the most common visa for AI and ML engineering roles in Nevada, as these positions consistently meet the specialty occupation standard requiring a degree in computer science, mathematics, statistics, or a related field. Candidates already holding L-1B status through intracompany transfers also fill ML engineering roles at larger tech and hospitality corporations. O-1A petitions appear occasionally for researchers or engineers with recognized publications or awards.
Which cities in Nevada have the most AI ML engineering sponsorship jobs?
Las Vegas and the broader Clark County metro account for the majority of AI and ML engineering sponsorship activity in Nevada, driven by gaming technology, data centers, and hospitality analytics. Reno is a secondary hub, supported by Tesla's Gigafactory presence, regional logistics tech companies, and the University of Nevada, Reno, which supplies engineering talent and hosts research collaborations with industry partners seeking sponsored hires.
How to find ai ml engineering visa sponsorship jobs in Nevada?
Migrate Mate is built specifically for international candidates and filters AI and ML engineering roles in Nevada by visa sponsorship availability, so you're not sorting through listings from employers who won't sponsor. The platform covers positions across Las Vegas, Reno, and the wider Nevada market. Because sponsorship willingness isn't always stated in job postings, using a dedicated tool like Migrate Mate saves significant time compared to manually screening general job boards.
Are there state-specific considerations for AI ML engineers seeking sponsorship in Nevada?
Nevada has no state income tax, which affects prevailing wage calculations and compensation structures that employers factor into LCA filings with the Department of Labor. The Nevada System of Higher Education, including UNLV and UNR, has expanded computer science programs that create local pipelines, but also means employers sometimes prefer local candidates first. AI engineers with experience in gaming analytics, real-time recommendation systems, or large-scale data center infrastructure will find their skills align closely with Nevada's dominant employer sectors.
What is the prevailing wage for sponsored ai ml engineering 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.