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Applied Intuition is seeking a Technical Lead to provide technical leadership, end-to-end system ownership, and architectural direction for the ML-first behavior prediction and planning team. You will lead the development of ML-first behavior modules that predict future trajectories and interactions of road users, guide key architectural decision-making, and mentor a team of talented engineers.
In this role, you will work closely with perception leadership on training data generation and with planning leadership on ML-based planner development, while collaborating with research teams on state-of-the-art architectures. Your leadership will drive tangible impact across diverse domains, including passenger vehicles, trucking, and mining.
Key responsibilities include:
- Leading the technical roadmap, system architecture, and execution for ML algorithms that generate driving trajectories for autonomous vehicles and other road users
- Driving architecture reviews and leveraging established products at Applied Intuition to build scalable software and infrastructure foundations for behavior ML development
- Mentoring and guiding engineers while collaborating with cross-functional leadership, perception, planning, and research teams on state-of-the-art models and techniques
- Fostering engineering excellence, mentoring team members, and shaping best practices in a dynamic and customer-focused environment
Applied Intuition is a $15 billion Series A company (founded 2017) powering the future of physical AI. The company creates digital infrastructure for autonomous systems across automotive, defense, trucking, construction, mining, and agriculture. Eighteen of the top 20 global automakers and the United States military trust Applied Intuition's solutions. The company is headquartered in Sunnyvale with offices globally.
The company operates as an in-office organization with expectations that full-time employees work from their Applied Intuition office 5 days a week, with flexibility for occasional remote work and schedule adjustments as needed.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field
- Proven track record of technical leadership, including leading complex projects, mentoring engineers, and influencing architectural direction
- Proven track record of shipping production ML software in complex, real-world environments
- Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization
- Experience with the end-to-end development cycle of deep learning models
- 3+ years of experience building production software using modern software practices
- Fluency in Python with intermediate experience in C++
NICE TO HAVE:
- Peer-reviewed research at machine learning conferences (NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, ICRA)
- Experience with driver assistance or autonomous driving systems
- Experience in evaluating and improving system-in-the-loop model performance
