Building a globally consistent prediction of what all different nearby agents (like other cars, buses, animals, pedestrians) are going to in the next few seconds. Generating safe, comfortable and feasible trajectories to navigate dynamic urban environments. Scoring and selecting the optimal trajectory, optimizing across many dimensions such as safety, comfort and customer experience. The Behaviors teams work closely with our Perception partners to get data from a variety of sensors, with rich attributes, simulation data, high-fidelity maps, etc, all of which is necessary to build the above technologies. We also collaborate with Robotics and Controls partners to enable the car to follow the planned path accurately. The Staff Applied Research Scientist is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. What you'll be doing: From a research perspective, exploring, prototyping, validating, and iterating new algorithms. On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production. Considered one of the technical leaders of the department who guides current and future technology choices. Have a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company's need. Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into. Capable of influencing others and building consensus even over contentious technical debates. What you must have: BS, MS, or higher degree, in CS/CE/EE, or equivalent industry experience. Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch. Extensive experience with machine learning and classification. Strong programming skills in Python or C++. Excellent mathematical reasoning skills, especially with probability. Passionate about self-driving car technology and its impact on the world! Bonus points! PhD in machine learning or computer science. Experience with LLMs, LLAs. Experience with ROS, OpenCV, Gazebo, or PCL. Experience with CUDA. Track record in deploying language models or robotics models into real-world environments. Experience with autonomous driving technologies. The salary range for this position is $161,200 - $237,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change. Why Cruise? Our benefits are here to support the whole you: Competitive salary and benefits. Medical / dental / vision, Life and AD&D. Subsidized mental health benefits. Paid time off and holidays. Paid parental, medical, family care, and military leave of absence. 401(k) Cruise matching program. Fertility benefits. Dependent Care Flexible Spending Account. Flexible Spending Account & Health Saving Account. Perks Wallet program for benefits/perks. Pre-tax Commuter benefit plan for local employees. CruiseFlex, our location-flexible work policy. We're Integrated Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale. We're Funded GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed. Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws. Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email ******. #J-18808-Ljbffr