Embedded Machine Learning Internship Jobs in Mahomet, IL

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 

Internship Term: Summer 2026

Rivian internships are experiences optimized for student candidates.To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. 

If you are not pursuing a degree, please see our full time positions on our Rivian careers site. 

Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. 

We are seeking an intern to support our team with deep learning models for improving performance metrics on image recognition tasks using advanced machine learning techniques like model compression and neural architecture search. You will be working towards creating prototype models to advance the state-of-the-art production networks deployed on Rivian automotive vehicles.

• Work on software tools for machine learning compiler to enable interence of deep learning networks on Rivian Hardware.
• Work closely with software engineers to bringup up new models using compiler constraints on Rivian hardware.
• Analyze compiler generated solutions and evaluate for performance and memory usage.
• Verify functionality through functional simulation or emulation.
• Analyze tradeoffs on various performance metrics including accuracy, latency, and throughput

• Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign.
• Actively pursuing a degree or one closely related in Computer Engineering or Computer Science.
• Solid programming skills in C/C++ and Python. Willingness to dig into low level software programming if need be.
• Good understanding of algorithms for Computer Vision applications, Deep Learning, Natural Language Processing, Artificial Intelligence or related fields
• Strong mathematical background and capability to analyze results
• Good understanding of software fundamentals
• Understanding of core deep learning principles (e.g., transformer architecture basics)
• Excellent Python and C++ programming skills.
• Working knowledge of PyTorch for fine tuning and evaluating ML models.
• Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer.  

Preferred Qualifications:

• Familiarity with autonomous driving systems and multimodal ML systems
• Basic understanding of robotics concepts
• Exposure to model export frameworks such as ONNX
• Experience with optimization techniques (e.g., quantization, precision trade-offs)

#LI-HH2

The salary range for this role is $25.00-40.00 per hour for Illinois based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

We offer a comprehensive package of benefits including but not limited to paid vacation, paid sick leave, and medical insurance benefits. Internship positions are not eligible for retirement benefits.  More information about benefits is available at rivianbenefits.com. 

You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than 5/28/2026.

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.  

Please note that we are currently not accepting applications from third party application services.

• Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign.
• Actively pursuing a degree or one closely related in Computer Engineering or Computer Science.
• Solid programming skills in C/C++ and Python. Willingness to dig into low level software programming if need be.
• Good understanding of algorithms for Computer Vision applications, Deep Learning, Natural Language Processing, Artificial Intelligence or related fields
• Strong mathematical background and capability to analyze results
• Good understanding of software fundamentals
• Understanding of core deep learning principles (e.g., transformer architecture basics)
• Excellent Python and C++ programming skills.
• Working knowledge of PyTorch for fine tuning and evaluating ML models.
• Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer.  

Preferred Qualifications:

• Familiarity with autonomous driving systems and multimodal ML systems
• Basic understanding of robotics concepts
• Exposure to model export frameworks such as ONNX
• Experience with optimization techniques (e.g., quantization, precision trade-offs)

#LI-HH2