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Internship Tesla Machine Learning Engineer Jobs in Salinas, CA

Market America

Data Scientist

Monterey, CA · On-site

Market America is seeking a Data Scientist supporting our product, engineering, leadership and ... Knowledge of a variety of machine learning techniques (clustering, decision tree learning ...

Market America Inc

Data Scientist

Monterey, CA · On-site

Market America is seeking a Data Scientist supporting our product, engineering, leadership and ... Knowledge of a variety of machine learning techniques (clustering, decision tree learning ...

Market America Inc

Data Scientist

Monterey, CA

Market America is seeking a Data Scientist supporting our product, engineering, leadership and ... Knowledge of a variety of machine learning techniques (clustering, decision tree learning ...

Market America Inc

Data Scientist

Monterey, CA · On-site

$130 - $180/hr

Market America is seeking a Data Scientist supporting our product, engineering, leadership and ... Knowledge of a variety of machine learning techniques (clustering, decision tree learning ...

Booz Allen Hamilton

Data Scientist

Monterey, CA · On-site

$77K - $176K/yr

... programming language for data analysis * Experience analyzing structured and unstructured data ... Experience with Machine Learning, Artificial Intelligence, or Natural Language Processing

Booz Allen Hamilton, Inc.

Data Scientist

Monterey, CA · On-site

$77K - $176K/yr

... programming language for data analysis * Experience analyzing structured and unstructured data ... Experience with Machine Learning, Artificial Intelligence, or Natural Language Processing

Booz Allen Hamilton

Data Scientist

Monterey, CA

$77K - $176K/yr

... programming language for data analysis * Experience analyzing structured and unstructured data ... Experience with Machine Learning, Artificial Intelligence, or Natural Language Processing

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All JobsTesla Machine Learning Engineer JobsInternship Tesla Machine Learning Engineer JobsInternship Tesla Machine Learning Engineer Jobs in Salinas, CA

Internship Tesla Machine Learning Engineer information

See Salinas, CA salary details

$27.4K

$45.8K

$94.5K

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 Salinas, CA is $45,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 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 Salinas, CA are hiring for Internship Tesla Machine Learning Engineer jobs?

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

Internship Tesla Machine Learning Engineer jobs near you

Principal Software Engineer, Real-time Embedded, Onsite

Raytheon Technologies

Hollister, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Date Posted:
2026-05-28
Country:
United States of America
Location:
US-CA-GOLETA-H03 ~ 6380 Hollister Ave ~ BLDG H03
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Active and existing security clearance required after day 1
At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.
We are seeking a highly motivated, experienced Principal Software Engineer to be an active participant in the software development team for Electronic Warfare (EW) projects, working with cutting edge technologies in products that protect our warfighters.
What You Will Do:
  • Technical leadership and participation on collaborative, cross-disciplined integrated product teams, often employing agile system and software development operations to plan, specify, design, test, and integrate complex software and systems solutions.
  • Responsibilities include inventions and innovations of new products and technologies, from architecture and design, through integration, lab test and field test.
  • Collaborating effectively with other disciplines and senior technical staff, in addition to producing planning and technical work products for internal customers to form original solutions to complex problems.
  • Developing software requirements and FPGA level interface requirements derived from system level requirements, developing associated architectures, performing simulations and analysis and testing of the software in a laboratory setting.
  • Work in an advanced product development team environment with systems, firmware, electrical and software engineers. Think out-of-the box to root-cause issues and develop creative resolutions.
  • Handle fast pace and dynamic product development environment including engagement with Systems' and Electrical Engineers
  • This position will require occasional business-related travel.

Qualifications You Must Have:
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) AND a minimum of 8 years of prior relevant experience.
  • Experience in software design, development, integration and test utilizing C / C++.
  • Experience with embedded microprocessors, system on a chip software design, FPGAs, high-speed transceivers, DDR, flash memories, block diagrams, signal analyses or signal generation.
  • Experience developing real-time applications on embedded platforms, including bare metal (no-OS), embedded Linux, or Windows environments.
  • The ability to obtain and maintain a Secret U.S. government issued security clearance. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:
  • Existing Secret security clearance.
  • Electronic Warfare Electronic Attack/Electronic Support (EA/ES), Radar, or Secure Communications technology knowledge.
  • Experience with .NET C# using WPF and MVVM.
  • Tool familiarity: Visual Studio, Vitis, TortoiseSVN, Jenkins, Jira, Collaborator.
  • DevSecOps background including pipeline toolset use and creation.
  • Lab experience in product testing using logic analyzers, high-speed oscilloscopes, signal generators, and system on chip debugging tools.
  • Experience with interfaces and bus standards such as: VME, PCI, PCIe, VPX, or Gb Ethernet.
  • Experience in software lifecycle phases: software architecture, system/software requirements analysis, design, implementation, verification testing, system integration, and post-delivery maintenance.
  • Experience with Radar technology, machine languages.
  • Experience with software algorithm development.
  • Experienced in Agile development processes.
  • Experience with machine learning.

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.
  • A total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs.
  • Relocation Eligible - Relocation assistance available

Learn More & Apply Now!
Please consider the following role type definition as you apply for this role.
  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
  • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm

#EW
#EmbeddedSoftware
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 118,300 USD - 224,900 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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