About Rivian 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. Role Summary Internship Term: 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 2025 and December 2027. 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. As an ML/AI intern, you will play a crucial role in supporting the development and optimization of learning-based control systems for Rivian’s advanced autonomy systems. You will collaborate with cross-functional teams to enhance vehicle performance, stability, and safety through innovative control techniques. Responsibilities Collaborate with the controls engineering team to understand and contribute to the design and development of control systems. Implement learning-based controls algorithm, vehicle dynamics, and simulation environments to real-world and industry-specific applications. Conduct research on the latest advancements in machine learning and reinforcement learning and explore their applications in control systems. Analyze and interpret data from various sensors and feedback systems to improve control algorithms. Collaborate with cross-functional teams to ensure seamless integration of control algorithms into existing systems. Qualifications Currently pursuing a Master’s or Ph.D. degree in Computer Science, Control Engineering, Electrical Engineering, Mechanical Engineering, or a related field with a focus on ML/AI. Strong understanding of control theory, feedback systems, and dynamics. Experience with numerical optimization algorithms and optimization solvers. Proficiency in programming languages such as C++ or Python. Solid problem-solving skills and the ability to work both independently and collaboratively. Excellent communication skills to present complex ideas to a non-technical audience. Experience with simulation tools (e.g., MATLAB/Simulink) and real-time control systems. Familiarity with machine learning and reinforcement learning concepts and frameworks. Knowledge of optimization techniques for control systems. Previous internship or project experience in controls and machine learning is a plus. #LI-[SAI7] Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity 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. Candidate Data Privacy 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.