Machine Learning Engineer Summer Intern (2027, MS/PhD, Simulator Realism Evaluation)

• Software Engineering builds the brains of Waymo's fully autonomous driving technology • Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations • We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers • If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you • Waymo interns partner with leaders in the industry on projects that create impact to the company • We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set • Interns are an important part of our culture and our recruiting pipeline • Join us at Waymo for a fun and rewarding internship! • Conduct ML modeling experiments and prototyping to build state-of-the-art evaluation tools • Write code within Waymo's simulator and evaluation systems • Design statistical experiments to evaluate the efficacy of ML discriminators • Collaborate across organizations to deliver impact to both onboard teams and downstream safety and simulation technology launch stakeholders Benefits • Medical, dental, and vision insurance for employees and dependents • Employee assistance programs focused on mental health • Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations • Access to mental health apps • Onsite wellness centers • Medical advocacy program for transgender employees • Support programs including menopause benefit • Second medical opinion for you and your loved ones • Counseling services • Competitive compensation • Regular bonus and equity performance grant opportunities • Generous 401(k) and regional retirement plans • 1-on-1 financial coaching • Annual cross-company compensation review and pay equity analysis • Fertility and growing family assistance • Parental leave and baby bonding leave • Elder care and support • Backup childcare • Survivor income benefit • Caregiver leave • Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays • Jury duty leave • Military leave • Hybrid work model with remote work opportunities also available • Educational reimbursement • Peer learning and coaching platform • Donation matching programs • Volunteer hours • Employee resource groups • Internal community groups and local culture clubs • Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts • On-site meals and snacks • Fitness centers, massage programs, and ergonomic support • On-demand fitness, wellbeing, and cooking classes • Commuter benefits Solid foundation in core computer science concepts (data structures, algorithms, object-oriented design)Interest in autonomous driving, simulation, evaluation, and physical AIEnrolled in a graduate program (Master's or PhD) in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Robotics, or a related technical fieldProficiency in software development using C++ or PythonSolid foundation in ML and statistics models, algorithms, and librariesKnowledge of software systems, including distributed systems and accelerated computingKnowledge/prior experience with physical systems (physics, robotics, physical AI)Proficiency in SQLStrong written/verbal communication and cross-functional collaboration skills