Prediction and Planning Technical Lead

Join Applied Intuition as a Prediction and Planning Technical Lead. In this role, you will provide technical leadership, end-to-end system ownership, and architectural direction for our ML-first behavior prediction and planning team. You will lead the development of ML-first behavior modules, guide key architectural decision-making, and mentor a team of talented engineers. Your leadership will drive tangible impact across diverse domains, including passenger vehicles, trucking, and mining.

• Lead the development of ML-first behavior modules that predict future trajectories and interactions of road users, guiding key architectural decision-making.
• Drive the technical roadmap, system architecture, and execution for ML algorithms that generate driving trajectories for autonomous vehicles and other road users.
• Mentor and guide engineers while collaborating with cross-functional leadership, perception, planning, and research teams on state-of-the-art models and techniques.

• If you are a hands-on leader eager to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!
• 3+ years of experience building production software using modern software practices
• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
• Fluency in Python with intermediate experience in C++
• Experience with the end-to-end development cycle of deep learning models
• Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization
• Proven track record of shipping production ML software in complex, real-world environments
• Proven track record of technical leadership, including leading complex projects, mentoring engineers, and influencing architectural direction
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Experience in evaluating and improving system-in-the-loop model performance
• Experience with driver assistance or autonomous driving systems
• Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA