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Remote Tesla Machine Learning Engineer Jobs in Michigan

DISHER

Vision Engineer

Detroit, MI · On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Detroit, MI · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Hitachi Careers

Software Engineer

MI · Remote

This is a remote position but may require occasional travel to a JR Automation or customer facility ... Machine Learning and other AI - ML, Custom AI programming, etc. * Machine Vision - Halcon, Cognex ...

Corning

$104K - $142K/yr

Experiences/Education - Required Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related field, or equivalent practical experience ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

... machine learning models and algorithms to solve complex business problems. * Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify ...

Crowe LLP

Senior AI Engineer

Grand Rapids, MI · On-site +1

$100K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

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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 Michigan? For Remote Tesla Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Tesla Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Remote Tesla Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Tesla Machine Learning Engineer jobs? Cities in Michigan with the most Remote Tesla Machine Learning Engineer job openings:
Remote Tesla Machine Learning Engineer jobs near you
Custom GPT Expert / AI Consultant (Remote, Contract) (Remote)

Custom GPT Expert / AI Consultant (Remote, Contract) (Remote)

Augusto Digital

Grand Rapids, MI • On-site, Remote

Contractor

Re-posted 15 days ago

Job description

Are you an AI enthusiast with a knack for building proof-of-concept (PoC) and minimum viable product (MVP) solutions? We're looking for a ChatGPT Expert / AI Consultant to help clients define, prototype, and implement custom AI-driven solutions.
About the Role
As a ChatGPT Expert, you will work directly with clients to design, develop, and refine AI-powered PoCs and MVPs. Your expertise in custom GPT implementations, prompt engineering, API integrations, and workflow automation will play a key role in helping businesses validate AI use cases before full-scale development.
This is a remote contract position, ideal for a self-starter who enjoys rapid prototyping and working with emerging AI technologies.
Key Responsibilities
  • Consult with clients to understand business needs and define AI-powered PoC/MVP requirements.
  • Create Custom GPT's by working with clients' own data.
  • Design and develop lightweight AI prototypes and MVPs leveraging custom GPTs and OpenAI APIs.
  • Implement and fine-tune GPT models for specific industry use cases.
  • Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG).
  • Integrate AI into client workflows using APIs, automation tools, and third-party systems.
  • Provide technical guidance on AI feasibility, limitations, and scalability for future development.
  • Stay ahead of AI trends to recommend best practices and innovative solutions.

Requirements
  • Proven experience working with ChatGPT, OpenAI APIs, or other LLMs in a consulting or development role.
  • Strong knowledge of prompt engineering, RAG, fine-tuning, and AI customization.
  • Experience with PoC and MVP development, including rapid prototyping methodologies.
  • Proficiency in API integration and automation tools (e.g., Zapier, LangChain, vector databases).
  • Ability to translate business goals into functional AI solutions.
  • Strong communication and problem-solving skills, especially in a remote consulting environment.

Preferred Qualifications
  • Background in AI, NLP, machine learning, or software development.
  • Experience working with AI-powered chatbots, automation platforms, or enterprise AI solutions.
  • Familiarity with ethical AI practices, compliance, and data security considerations.

Why Join Us:
Impactful Work: Contribute to projects that make a significant impact on healthcare and other industries.
Professional Growth: Opportunities for continuous learning and development in a dynamic and supportive environment.
Collaborative Culture: Work with a team of skilled professionals who are passionate about delivering value and driving growth.
Innovation: Be part of a company that values innovation and encourages new ideas and approaches.
How to Apply:
Interested candidates should submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this position to [insert application email or link].
**Augusto Digital is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**
Join us at Augusto Digital and help us turn data into actionable insights that drive growth and innovation!

Apply