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Internship Tesla Machine Learning Engineer Jobs in Uniontown, OH

... engineering, or related field preferred. * Professional certification or training in artificial intelligence, machine learning, data analytics, project management, change management, or AI governance ...

New

... engineering, or related field preferred. * Professional certification or training in artificial intelligence, machine learning, data analytics, project management, change management, or AI governance ...

New

... Data Engineering Supervisor will supervise the data engineers responsible for building and ... Machine Learning), Informatica PowerCenter and IDR, and legacy on-premise platforms such as ...

Mechanical Engineer I

Hudson, OH · On-site

$55 - $75/hr

This entry-level role emphasizes learning, collaboration, and foundational engineering ... Experience from internships, co-ops, or academic projects involving electro-mechanical systems.

Mechanical Engineer I

Hudson, OH · On-site

$52 - $75/hr

This entry-level role emphasizes learning, collaboration, and foundational engineering ... Experience from internships, co-ops, or academic projects involving electro-mechanical systems.

New

Data Science Tutor

Akron, OH · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Fall/Winter Intern

Medina, OH · On-site

$13.25 - $17.75/hr

This internship is designed to provide meaningful, hands-on experience for students interested in ... Learning and supporting various aspects of sports facility management and operations * Completing ...

Python Tutor

Akron, OH · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

... programming and SQL knowledge. * Demonstrated experience building and deploying statistical and machine learning models to address business challenges. * Skilled in data wrangling, quality evaluation ...

Showing results 21-40

Internship Tesla Machine Learning Engineer information

See Uniontown, OH salary details

$20.7K

$34.6K

$71.5K

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

As of Sep 4, 2026, the average yearly pay for internship tesla machine learning engineer in Uniontown, OH is $34,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,400.00 and $37,400.00 per year, depending on experience, location, and employer.

What does an Internship Tesla Machine Learning Engineer do?

An Internship Tesla Machine Learning Engineer assists in developing and improving machine learning models used in Tesla’s products and operations. Interns typically work on data preprocessing, algorithm development, and model evaluation under the guidance of senior engineers. Their projects may involve computer vision, natural language processing, or predictive analytics applied to Tesla’s vehicles, manufacturing, or autonomous driving systems. The internship offers hands-on experience with real-world data and cutting-edge technology, helping students build valuable industry skills.

What types of projects do Machine Learning Engineer interns at Tesla typically work on, and how much ownership do they have over their work?

Machine Learning Engineer interns at Tesla are often involved in projects that directly contribute to the development of advanced AI systems, such as autonomous driving, predictive analytics, or manufacturing optimization. Interns are typically given meaningful, hands-on tasks and are expected to take significant ownership of specific components or models within a larger project. Collaboration with senior engineers and cross-functional teams is common, providing exposure to Tesla's fast-paced, innovative work culture. Interns also have opportunities to present their work to leadership and receive mentorship, which can be valuable for future career growth.

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

To thrive as an Internship Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning principles, often supported by progress toward a relevant bachelor’s or master’s degree. Familiarity with Python, TensorFlow or PyTorch, and experience using data processing tools and version control systems are typically required. Strong problem-solving, communication skills, and the ability to collaborate effectively in a fast-paced team environment will set you apart. These skills and qualities are crucial for contributing to high-impact projects and advancing cutting-edge AI solutions at Tesla.

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

AspectInternship Tesla Machine Learning EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, possibly some machine learning knowledgeStatistics, data analysis, programming skills, often some machine learning understanding
Work EnvironmentHands-on projects in AI/ML teams at Tesla, collaborative, fast-pacedData analysis tasks, reporting, modeling in various departments, collaborative
Employer & Industry UsageTesla, automotive, AI, and autonomous driving sectorsVarious industries including tech, finance, healthcare, often within data teams

Both roles involve data and programming skills, but the Tesla Machine Learning Engineer internship focuses more on developing AI/ML models for autonomous systems, while Data Scientist Internships typically emphasize data analysis and insights across different business areas.

What cities near Uniontown, OH are hiring for Internship Tesla Machine Learning Engineer jobs?

Cities near Uniontown, OH with the most Internship Tesla Machine Learning Engineer job openings:

Artificial Intelligence Manager

Quanex

Akron, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Quanex rating

6.6

Company rating: 6.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

460th of 545 rated manufacturers


Job description

Quanex is seeking an Artificial Intelligence Manager to join our team in Akron, OH or Houston, TX.

The Artificial Intelligence Manager will be responsible for developing, governing, and leading the enterprise artificial intelligence strategy for Quanex, with a focus on practical implementation across manufacturing operations, corporate functions, and business processes. This role will partner with IT, Operations, Engineering, Finance, HR, Legal, and business leadership to identify high-value AI opportunities, prioritize use cases, guide responsible adoption, and deliver measurable business outcomes. The position requires a strategic planner with strong business acumen, technical fluency, change leadership, and demonstrated experience implementing AI-enabled solutions in a manufacturing organization.

We Offer You!

  • Competitive Salary
  • 401K Match w/ 2-year vesting period
  • Bonus Potential
  • Medical, Dental & Vision Plans
  • Paid Time Off & Holidays
  • Various Work Schedules
  • Tuition Assistance
  • Wellness/Fitness Resources
  • Training/Development
  • Employee Stock Purchase Plan
  • Dynamic Culture & People - just to name a few!

What’s attractive about the Artificial Intelligence Manager position?

  • Enterprise-wide impact: Lead Quanex’s AI strategy and help shape how AI is used across manufacturing operations, corporate functions, and business processes.
  • Opportunity to build: Establish the company’s AI roadmap, governance framework, policies, standards, and operating model from the ground up.
  • Manufacturing-focused innovation: Apply AI to real-world challenges such as predictive maintenance, quality inspection, production planning, process optimization, supply chain, and plant productivity.

What Success Looks Like:

  • A clear, prioritized enterprise AI strategy and roadmap is established and aligned with business objectives.
  • A sustainable AI governance framework is in place, with defined processes for evaluating, approving, monitoring, and managing AI initiatives.
  • A pipeline of high-value AI use cases is identified, prioritized, and converted into successful pilots and production implementations.
  • AI solutions are delivering measurable business outcomes, including productivity improvements, cost reductions, quality gains, improved forecasting, reduced downtime, and better decision-making.
  • Manufacturing plants and business functions are successfully adopting AI solutions that address real operational and business needs.
  • AI initiatives are implemented with appropriate attention to security, privacy, compliance, data quality, risk, and responsible AI principles.
  • Strong partnerships are established across IT, Operations, Engineering, Finance, HR, Legal, Cybersecurity, and business leadership.
  • Employees and leaders have the education, tools, guidance, and confidence needed to use approved AI technologies effectively and responsibly.
  • AI vendors, platforms, and technology investments are evaluated based on business value, scalability, risk, and long-term supportability.
  • Executive leadership has clear visibility into AI priorities, investment, progress, adoption, risks, and value realization.
  • The organization develops a culture of continuous improvement and responsible innovation, with AI becoming an integrated part of how Quanex operates and solves business problems.

What You Bring:

  • Bachelor’s degree in computer science, data science, information systems, engineering, business analytics, operations management, or related field required.
  • Master’s degree in business administration, data science, artificial intelligence, engineering, or related field preferred.
  • Professional certification or training in artificial intelligence, machine learning, data analytics, project management, change management, or AI governance preferred.
  • 7+ years of experience in information technology, data analytics, digital transformation, operations technology, enterprise applications, or related business technology roles.
  • 5+ years of experience leading complex technology, analytics, automation, or digital transformation initiatives across multiple business functions.
  • Demonstrated experience implementing AI, automation, advanced analytics, machine learning, or data-driven solutions in a manufacturing environment.
  • Experience working with manufacturing systems and processes such as ERP, MES, quality systems, maintenance systems, supply chain systems, production planning, plant operations, and shop floor data preferred.
  • Strong understanding of AI concepts, including generative AI, machine learning, natural language processing, predictive analytics, computer vision, automation, data governance, and model lifecycle management.
  • Experience developing business cases, roadmaps, governance models, program metrics, and executive-level reporting for technology initiatives.
  • Requires at least 10 years’ total relevant work experience, with at least 3 years of experience directly supporting AI, advanced analytics, automation, or digital transformation initiatives and at least 2 years leading teams, programs, or cross-functional initiatives.

The salary range for this position is $140K-170K with the potential to earn an annual bonus.

About Quanex, A Part of Something Bigger

Quanex (NYSE: NX) is a global, publicly traded manufacturing company primarily serving OEMs in the fenestration, cabinetry, solar, refrigeration and outdoor products markets. We are A Part of Something Bigger by improving the performance and aesthetics of end products through continuous innovation, helping customers achieve greater production efficiencies, dedication to giving back to communities where we operate, producing shareholder value and helping our employees learn, grow, and thrive. Learn more at Quanex.com.
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