2

Remote Machine Learning Robotics Jobs in Austin, TX

Remote (EST Work Hours) Duration: 12 Months to start with Rate Range: Upto $80/hr W2 or $88/hr C2C ... Familiarity with machine learning concepts. * Databricks exposure. * Experience with data ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

Senior DevOps Engineer

Austin, TX ยท On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Senior Software Engineer

Austin, TX ยท On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

next page

Showing results 1-20

Remote Machine Learning Robotics information

See Austin, TX salary details

$32.2K

$63.2K

$98.6K

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

As of Jun 21, 2026, the average yearly pay for remote machine learning robotics in Austin, TX is $63,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $74,300.00 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 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.

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 are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

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.
What are popular job titles related to Remote Machine Learning Robotics jobs in Austin, TX? For Remote Machine Learning Robotics jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Austin, TX look for? The top searched job categories for Remote Machine Learning Robotics jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Machine Learning Robotics jobs? Cities near Austin, TX with the most Remote Machine Learning Robotics job openings:
Frontend Engineer React and AWS

Frontend Engineer React and AWS

Numentica LLC

Austin, TX โ€ข Remote

$30 - $38/hr

Full-time

Posted 16 days ago


Job description

This is a remote position.

Onsite/ Hybrid/ Remote: Remote (EST Work Hours)
Duration: 12 Months to start with
Rate Range: Upto $80/hr W2 or $88/hr C2C
Work Authorization: GC, USC, H1B All valid EADs except OPT, CPT

Must Have:

  • 5+ years of professional front-end software development experience
  • Strong React and TypeScript experience
  • HTML5, CSS3, JavaScript
  • AWS experience with CloudFront, S3, ECS or Lambda, and API Gateway
  • REST and GraphQL API integration
  • Front-end testing with Jest, React Testing Library, Cypress, or Playwright
  • CI/CD experience using GitHub Actions, AWS CodePipeline, or similar
  • Experience building scalable and production-grade front-end applications
  • Web performance optimization and accessibility standards
  • Experience working on customer-facing applications

Responsibilities:

  • Build and enhance front-end applications using React and TypeScript.
  • Revamp and modernize existing UI experiences for internal high-visibility applications.
  • Develop new front-end capabilities for election and analytics-focused platforms.
  • Collaborate with UX designers, product managers, and engineering teams to deliver scalable user experiences.
  • Integrate front-end applications with AWS services, REST APIs, GraphQL APIs, and streaming data services.
  • Improve usability, search, navigation, and workflow efficiency across applications.
  • Write clean, maintainable, and scalable production-ready code.
  • Participate in testing, deployment, troubleshooting, monitoring, and optimization activities.
  • Support rapid development timelines and work independently with minimal oversight.

Qualifications:

  • 5+ years of non-internship front-end engineering experience.
  • Strong hands-on expertise with React, TypeScript, JavaScript, HTML, and CSS.
  • Experience deploying and supporting applications in AWS environments.
  • Understanding of component architecture, state management, rendering performance, and browser behavior.
  • Experience working in agile product and engineering teams.
  • Ability to quickly ramp up and contribute to existing applications and codebases.
  • Bachelorโ€™s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to Have:

  • Experience with AI-assisted or LLM-integrated interfaces.
  • Familiarity with Cursor, Claude Code, or similar AI development tools.
  • Familiarity with machine learning concepts.
  • Databricks exposure.
  • Experience with data visualization libraries such as D3.js, Recharts, or Chart.js.
  • Experience with Next.js or server-side rendering frameworks.
  • Experience with CloudWatch, Datadog, or similar observability tools.
  • Prior experience supporting high-traffic media, news, or real-time analytics platforms.