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Remote Tesla Machine Learning Engineer Jobs in Wisconsin

Our machines ship today, and they work. What this category becomes over the next decade is still ... Build out our fleet management layer -- telemetry, OTA, remote ops, fleet-wide observability * Work ...

$211K - $246K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Define the data engineering and analytics roadmap, aligned with company goals. This includes ...

$52 - $71.25/hr

Deploy new machines as required to meet demand. Automate where possible. * Manage SSL certificates ... Strong familiarity with DevOps processes and approaches, especially with GitOps Kubernetes ...

I'm Dylan, one of the engineering managers at EnsoData and we are looking for another great ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Milwaukee, WI · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Azure MFA Architect

Racine, WI · Remote

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Azure MFA Architect

Racine, WI · On-site +1

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Linear Algebra Tutor

Madison, WI · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

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Remote Tesla Machine Learning Engineer information

What does a Remote Tesla Machine Learning Engineer do?

A Remote Tesla Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to improve Tesla's products and services. Working from a remote location, they collaborate with teams to analyze large datasets, build predictive models, and optimize algorithms for applications such as autonomous driving, energy management, and manufacturing. They also ensure that machine learning solutions are scalable and meet Tesla's high standards for performance and safety.

What are some common challenges faced by Remote Tesla Machine Learning Engineers, and how can they be overcome?

Remote Tesla Machine Learning Engineers often face challenges such as collaborating across different time zones, ensuring effective communication with cross-functional teams, and maintaining access to high-performance computing resources. To overcome these, engineers typically use collaborative tools for code sharing and project management, participate in regular virtual meetings, and leverage Tesla's robust cloud infrastructure for experimentation and model training. Proactively seeking feedback and staying aligned with team goals are also key practices for success in this remote, fast-paced environment.

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

To thrive as a Remote Tesla Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically demonstrated through a relevant degree or equivalent experience. Proficiency with Python, TensorFlow or PyTorch, cloud platforms, and version control systems is crucial, and certifications in AI/ML can be advantageous. Exceptional problem-solving, communication, and self-motivation are important soft skills for collaborating remotely and tackling complex projects. These skills enable engineers to design, implement, and scale innovative AI solutions that drive Tesla's technology forward.

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

AspectRemote Tesla Machine Learning EngineerRemote Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience with ML frameworksDegree in Statistics, Mathematics, or related field; strong programming skills
Work EnvironmentCollaborates with engineering teams on autonomous systems and vehicle dataAnalyzes large datasets to extract insights for business or product decisions
Employer & Industry UsagePrimarily in automotive, tech, and autonomous vehicle sectorsAcross tech, finance, healthcare, and various industries

While both roles involve data analysis and machine learning, the Remote Tesla Machine Learning Engineer focuses on developing algorithms for autonomous vehicles, whereas the Remote Data Scientist analyzes data to inform business strategies. The roles share similar credentials but differ in application and industry focus.

What are popular job titles related to Remote Tesla Machine Learning Engineer jobs in Wisconsin? For Remote Tesla Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Tesla Machine Learning Engineer jobs? Cities in Wisconsin with the most Remote Tesla Machine Learning Engineer job openings:
Senior Robotics Software Engineer

Senior Robotics Software Engineer

RC Mowers

Green Bay, WI • Remote

$100K - $140K/yr

Full-time

Posted 6 days ago


Job description

We build full-size commercial autonomous robots that mow large properties without an operator in the seat. They run in real terrain — wet grass, dust, heat, GPS dropouts, unstructured environments — for municipalities, DOTs, and commercial contractors across North America.

Our machines ship today, and they work. What this category becomes over the next decade is still being written — we plan to write most of it.

We're hiring a senior ROS2 engineer to help us do it.

WHAT YOU'D ACTUALLY DO

  • Develop and ship ROS2 features that enhance machine behavior and unlock new capabilities
  • Build out our fleet management layer — telemetry, OTA, remote ops, fleet-wide observability
  • Work on perception, sensor fusion, and decision-making in unstructured outdoor environments
  • Collaborate directly with mechanical, electrical, and controls engineers — and with the technicians who validate and field-test what you build
  • Make architectural calls that affect what the platform can do two and three years out
  • Help shape how we hire, review, and scale the software team as we grow

WHAT YOU BRING

  • Strong production ROS2 experience — not a class, not a side project; you've shipped and maintained ROS2 software that users depend on
  • Solid C++ and/or Python; comfort moving between them
  • Experience with at least one of: fleet management/distributed systems at scale, or computer vision and sensor fusion in real-world conditions
  • A sense of when to build, when to integrate, and when to throw something out
  • The judgment to operate as a senior IC: you scope your own work, push back when the spec is wrong, and ship without needing to be managed
  • Clear technical writing — design docs, postmortems, code review comments that move the team forward

The Problem You'd Own

The core of this job is developing in ROS2: building, extending, and shipping the software that makes our machines do what they do. New behaviors, new capabilities, better decisions in the field.

Within that, two areas have outsized leverage on where the platform goes — and you'd help us decide where to push hardest:

  • The fleet problem...
  • The perception problem...

About the Team

The engineering team is ten people. No one is coasting. We don't have process layers between you and the machine. Code review matters here. Design discussions are technical and direct. Decisions get made by the people closest to the work — and the company is led by an engineer who knows the difference between cheap and right.

What This Is Not

A research position. A role where you'll spend a year on a prototype that doesn't ship. A place where someone else writes the spec and you implement it. A team where senior means "has been here longest."

How to Stand Out

A resume helps, but tell us about something you've built or shipped. The harder, messier, and closer to production, the better.

We want to know: What was the problem? What did you build? What broke, and how did you find it? What would you do differently? What did you learn that changed how you work?