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Remote Tesla Machine Learning Engineer Jobs in Macomb, MI

AI/ML and Data Engineer

Southfield, MI ยท On-site +1

$104K - $125K/yr

... machine learning use cases. * Architect and deliver LLM-enabled Generative AI solutions (e.g ... Extensive data engineering experience, including pipeline development, database design, and ...

Risk Manager II (US)

Southfield, MI ยท On-site +1

$115K - $173K/yr

... and machine learning. - Hands-on analytics experience with bureau and alternative data sources, and knowledge of feature engineering and attribute aggregation. - Advanced proficiency in SAS, R ...

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

DevOps Engineer

Detroit, MI ยท Remote

$54 - $74/hr

A proactive and self-motivated approach to learning and adopting new technologies. * Passion for ... We offer a hybrid work schedule to perfectly combine the benefits of remote work and the essential ...

Linear Algebra Tutor

Detroit, MI ยท Remote

$18 - $40/hr

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

Mechanical Engineering Tutor

Detroit, MI ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Senior Electrical Engineer

Detroit, MI ยท Remote

$110K - $143K/yr

This remote position requires the individual to live in the state of Michigan with the ability to ... Promote a culture of continuous learning and professional development within the team. * Lead ...

Senior Electrical Engineer

Detroit, MI ยท Remote

$110K - $143K/yr

This remote position requires the individual to live in the state of Michigan with the ability to ... Promote a culture of continuous learning and professional development within the team. * Lead ...

Showing results 41-60

Remote Tesla Machine Learning Engineer information

See Macomb, MI salary details

$30.5K

$124.6K

$187.3K

How much do remote tesla machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote tesla machine learning engineer in Macomb, MI is $124,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 per year, depending on experience, location, and employer.

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?

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 Macomb, MI? For Remote Tesla Machine Learning Engineer jobs in Macomb, MI, the most frequently searched job titles are:
What cities near Macomb, MI are hiring for Remote Tesla Machine Learning Engineer jobs? Cities near Macomb, MI with the most Remote Tesla Machine Learning Engineer job openings:
Infographic showing various Remote Tesla Machine Learning Engineer job openings in Macomb, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $124,610 per year, or $59.9 per hour.

Agentic Software Engineer (Google Antigravity) - Remote - USA

FullStack Labs

Detroit, MI โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire an Agentic Software Engineer (Google Antigravity) to join our team. You'll work with one of our incredible product teams to build and deliver a product to our clients.
What We Are Looking For
  • 5+ years of professional software development experience with a deep understanding of full-stack architectures (e.g., Java, Python, C#, React, Node, etc.).
  • Deep experience using Google Antigravity as a primary development environment to coordinate AI-driven implementation across large, multi-file systems while maintaining architectural oversight.
  • Experience delivering production software where AI systems generate the majority of implementation code.
  • Strong context engineering skills, including structuring codebases, specifications, and documentation to produce reliable, context-efficient AI output.
  • Ability to translate complex product requirements into machine-executable, AI-friendly specifications.
  • Experience designing AI-first development workflows from specification through deployment.
  • Ability to systematically improve AI-generated output through structured iteration and feedback loops.
  • Comfort working across multiple stacks, using AI to deliver high-quality, production-ready systems.
  • Experience operating across frontend, backend, and infrastructure in AI-accelerated environments.
  • Disciplined human-in-the-loop review practices, with risk-adjusted validation for high-impact or safety-critical flows.
  • Strong curiosity and initiative in evaluating and adopting emerging AI-native engineering practices.
  • Advanced understanding of Agile methodologies and Lean principles and participation in team ceremonies as well as asynchronous work.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • A positive mindset and a can-do attitude.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on commitments.
  • Ability to consistently work 40 hours per week.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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