1

Internship Tesla Machine Learning Engineer Jobs in Indio, CA

Internship Tesla Machine Learning Engineer information

See Indio, CA salary details

$26.1K

$43.6K

$90.2K

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

As of Aug 22, 2026, the average yearly pay for internship tesla machine learning engineer in Indio, CA is $43,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $47,200.00 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 job categories do people searching Internship Tesla Machine Learning Engineer jobs in Indio, CA look for?

The top searched job categories for Internship Tesla Machine Learning Engineer jobs in Indio, CA are:

What cities near Indio, CA are hiring for Internship Tesla Machine Learning Engineer jobs?

Cities near Indio, CA with the most Internship Tesla Machine Learning Engineer job openings:

Director of Artificial Intelligence (36800)

AGUA CALIENTE

Rancho Mirage, CA • On-site

Full-time

Posted yesterday

New


Job description

Job Description Summary
Responsible for leading the design, implementation and governance of artificial intelligence and machine learning initiatives throughout the organization, focusing on aligning product outcomes with business objectives and ensuring they meet Agua Caliente's user demands. This role builds and manages a team of AI professionals, establishes the AI roadmap in partnership with the CIO, and ensures all AI systems align with tribal gaming regulatory requirements and responsible gaming standards.
Essential Duties and Responsibilities (other duties may be assigned)
  • Lead the design, implementation and governance of artificial intelligence and machine learning initiatives throughout the organization.
  • Develop and execute a multi-year AI strategy and roadmap which aligns with enterprise and gaming operational department goals.
  • Partner with the CIO and IT department directors (Applications, Infrastructure, Security) to prioritize AI initiatives.
  • Build, mentor, and manage a team of AI/ML engineers and analysts.
  • Own the AI budget, including vendor contracts, cloud compute, and licensing.
  • Establish and maintain AI governance policies: model validation, bias testing, data privacy, and audit trails.
  • Evaluate build vs. buy decisions for AI vendors, with attention to data sovereignty and on-property vs. cloud hosting requirements.
  • Manage relationships with third-party AI/analytics vendors serving the gaming industry.
  • Manage the entire AI product lifecycle, from planning and development to deployment and maintenance.
  • Develop and maintain user training and testing programs for AI related products.
  • Work with IT leadership on evaluating AI business user risk assessments, prepares summaries for review and approval by the CIO.
  • Assist the CIO with defining AI success metrics associated with revenue generation and or automation efforts.
  • Keep abreast of advancements in the artificial intelligence field, as well as competitors, make applicable improvement recommendations to the CIO ensuring best in breed offerings.
  • Provide recommendations to streamline AI ethics and governance.
  • Facilitate the creation and maintenance of proper product documentation.
  • Foster strong relationships with key stakeholders and external partners to support product identification and implementation.
  • Work closely with business data owners and custodians on defining and managing data ownership, human-in-the-loop testing and related responsibilities.
  • Provide outstanding customer service in a timely manner to both guests and fellow team members.
  • Coordinate the development of project business cases, obtaining funding approvals and buy-in from key stakeholders.
  • Must comply with all applicable Agua Caliente Casinos System of Internal Controls, Standard Operating Procedures and all Tribal Regulations.

Supervisory Responsibilities
To be determined
Access to Sensitive Areas and Information
As per the ACGC Access Matrix
Signatory Ability
Education and/or Experience
  • 8+ years of experience in AI/ML, data science, or advanced analytics, including 3+ years in a leadership role.
  • Casino or hospitality services industry experience strongly preferred.
  • Experience deploying AI/ML models in a production environment at enterprise scale required.
  • Strong understanding of data governance, model risk management, and regulatory compliance.
  • Strong analytical mindset and a robust understanding of AI technologies, coupled with the ability to work effectively across teams to launch products that are innovative, user-centric, and beneficial to Agua Caliente.
  • Familiarity with tribal gaming regulatory frameworks.
  • Experience navigating data sovereignty or on-property infrastructure requirements.
  • Demonstrated ability to develop product strategies and effectively communicate recommendations to senior leadership.
  • Experience managing cross-functional, sourced, or matrixed projects over large scale initiatives which includes managing and interfacing with vendors.
  • Ability to thrive in a fast-paced, rapidly changing environment.
  • Ability to work after normal business hours and on weekends as required.
  • Experience in working both independently and in a team-oriented, collaborative environment.
  • Strong oral and written communication skills, including presentation skills.
  • Strong problem-solving skills and willingness to think outside the box.
  • Bachelor's degree in computer science, data science, information systems or related field from a four-year college or university, an equivalent combination of education and experience will be considered.

Working Conditions/Physical Demands
To perform this job successfully, the individual must be able to stand, move and work throughout the office area and properties, including walking up to 1 ½ mile, climbing stairs and sitting at a desk/workstation for the duration of the shift. Must be able to work in a smoke-filled environment.
Typically, the individual will be housed in an office environment. The noise level in the work environment is usually moderate, but will escalate when located in the casino environment. Must be able to grasp, bend, lift and/or carry or otherwise move goods weighing a minimum of 25 lbs. on an intermittent basis, and sufficient dexterity of hand in order to use office equipment including, but not limited to: a computer keyboard, calculator, general office equipment and multi-line telephone.