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Internship Mechanical Engineering Machine Learning Jobs

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

Required : • Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or ... Machine Learning, including ownership of projects throughout the entire ML Lifecycle • ...

Solcoa Industries

Mechanical Engineering Intern

Alameda, CA · On-site

$21.25 - $28.50/hr

The Role - Mechanical Engineering Intern Join our hardware team and help turn designs into working ... Hands-on build experience from labs, clubs, internships, or personal projects (machine shop tools ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.

Navstar

Machine Learning Engineer

Centreville, VA · On-site

$102K - $144.38K/yr

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... Engineering, Aerospace, or Mechanical Engineering * Minimum of 2 - 5 years' experience, and 2+ ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

Data Engineering - Visual Scene Search via Vector Embeddings * System Architecture & Design: Own ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

Data Engineering - Visual Scene Search via Vector Embeddings * System Architecture & Design: Own ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

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How much do internship mechanical engineering machine learning jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for internship mechanical engineering machine learning in the United States is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Internship Mechanical Engineering Machine Learning vs Mechanical Engineer?

AspectInternship Mechanical Engineering Machine LearningMechanical Engineer
Required CredentialsTypically pursuing or recently completed a degree in Mechanical Engineering or related field; familiarity with machine learning toolsBachelor's degree in Mechanical Engineering; professional licensure often not required for entry-level roles
Work EnvironmentInternship setting, often in research labs or tech companies, focusing on project-based learningDesign, analysis, and manufacturing environments, including offices, factories, and labs
Employer & Industry UsageUsed by tech companies, research institutions, and engineering firms exploring AI applications in mechanical systemsWidely employed across manufacturing, automotive, aerospace, and energy sectors

In summary, an Internship Mechanical Engineering Machine Learning focuses on gaining experience at the intersection of mechanical engineering and machine learning, often in research or tech environments. A Mechanical Engineer typically works on designing and maintaining mechanical systems across various industries, with a broader scope and more established credentials.

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What cities are hiring for Internship Mechanical Engineering Machine Learning jobs? Cities with the most Internship Mechanical Engineering Machine Learning job openings:
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Internship Mechanical Engineering Machine Learning jobs near you
Infographic showing various Internship Mechanical Engineering Machine Learning job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $45,516 per year, or $21.9 per hour.

Internship, Mechanical Engineering (Summer 2026)

Pivotal

Palo Alto, CA • On-site

$22 - $29.75/hr

Other

Posted 21 days ago

Job description

Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the world's first light eVTOL to fly manned missions and enter the consumer market. 
 
Efficient, compact, and simple, Pivotal aircraft are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been flying for over 10 years. Last year we announced our next-generation aircraft, the Helix, which is rapidly progressing toward general release and scalable production in 2026. 
 
Mobility is one of the most highly-valued areas of modern technology investments. This is the right company, in the right space, the right strategy, at the right time. If you are ready for adventure, we invite you to join our amazing team and grow with us.
Responsibilities
  • Assist in mechanical design and 3D modeling using CAD tools (CATIA, Solidworks)
  • Support prototype fabrication, assembly, and testing
  • Perform tolerance analysis, material selection, and structural evaluations
  • Collaborate with cross-functional teams on design reviews and product integration
  • Document designs, test data, and engineering changes
Qualifications
  • Currently enrolled in a Bachelors or Masters degree program, preferably Mechanical Engineering from an accredited program
  • Demonstrated project experience in your area of focus
  • Interest in eVTOL industry and personal flight
  • Ability to learn quickly and multi-task in a dynamic and fast-paced work environment
  • Strong verbal and written communication, organization, and leadership skills
  • Must be a U.S. citizen or permanent resident
  • Able to work onsite in Palo Alto, CA.
Preferred Qualifications
  • Hands-on experience in motor sports and/or electric vehicles (AIAA Design, Build, Fly; Formula SAE, etc.)
  • Experience with 3D modeling (CATIA preferred) 
Attributes aligned with Core Values
  • Demonstrates a proactive safety mindset by embedding safety into daily operations, identifying and mitigating risks through assessments and training, encouraging open dialogue on safety concerns, and continuously improving protocols to ensure a safe work environment.
  • Puts customers at the center of every action by deeply understanding their challenges, delivering exceptional value, and striving to exceed expectations to support their success as our core purpose.
  • Actively seeks and values diverse stakeholder perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication-committing to shared decisions for the greater good.
  • Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes while aligning actions with a clear understanding of success at every level.
  • Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical best practices to overcome obstacles and drive progress.
  • Fosters a high-performance culture grounded in respect, professionalism, and support-balancing high expectations with a healthy, collaborative environment and being a trusted, dependable teammate.
Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA.
 
Pivotal is an Equal Opportunity Employer. Pivotal does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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