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Remote Machine Learning Robotics Jobs in Las Vegas, NV

Staff Front End Engineer

Las Vegas, NV · On-site +1

$172K - $229K/yr

... machine learning (ML) engineers and improve the performance and adaptability of our autonomous ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Insurance Agent

Las Vegas, NV · On-site +1

$30K - $160K/yr

... a machine? If you answered YES to any of those questions, please keep reading. How about TODAY ... Remote work and in-person training opportunities available * Potential to earn a raise every 2 ...

Showing results 41-46

Remote Machine Learning Robotics information

See Las Vegas, NV salary details

$31K

$60.9K

$95K

How much do remote machine learning robotics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote machine learning robotics in Las Vegas, NV is $60,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,800.00 and $71,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What are the key skills and qualifications needed to thrive as a remote machine learning robotics engineer?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Las Vegas, NV?

For Remote Machine Learning Robotics jobs in Las Vegas, NV, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Robotics jobs in Las Vegas, NV look for?

The top searched job categories for Remote Machine Learning Robotics jobs in Las Vegas, NV are:

Staff Front End Engineer

Motional

Las Vegas, NV • On-site, Remote

$172K - $229K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


Key responsibilities

  • Drive cross-team standards and best practices for web development.

  • Own cross team collaboration, ensuring deliveries are made on time and effectively.

  • Build mission-critical UI systems used by a variety of internal customers.


Job description

Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What You'll Be Doing:

  • Drive cross-team standards and best practices for web development
  • Own cross team collaboration, ensuring deliveries are made on time and effectively
  • Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
  • Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
  • Build mission-critical UI systems used by a variety of internal customers.
  • Design initiative experiences for complex, data-heavy workflows.
  • Drive best practices around performance, scalability and maintainability
  • Ship quickly and iterate in a product driven environment.

What We're Looking For:

  • Desire to design and build user-facing visual applications, and a passion for good UX.
  • Strong proficiency in React, Typescript and modern frontend architecture
  • Proficiency in Vue
  • Strong product sense with a focus on UX and usability.
  • Ability to work with high ownership and autonomy.
  • Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
  • Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
  • A well-established technical design and documentation habit
  • Capability to work directly with customers to identify foundational needs and provide solutions.

Bonus Points (not required):

  • Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
  • A love for the continuous delivery of value.
  • Exposure to backend systems (Node, Python)
  • Experience in Game Development or 3D Visualization


We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$172,000—$229,000 USD

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. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

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.