Manager, Onboard Behavior Encoder

Job description

Job responsibilities

• Lead a Team: Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement.
• Develop Strategy: Develop and organize our overall strategy for Onboard Behavior ML Models for generating driving plans for our autonomous vehicle.
• Provide technical guidance and leadership in the design and development of training models at large scale and work with partner teams on ensuring their efficient inference.
• Monitor Performance: Establish and monitor key performance indicators (KPIs) to measure the effectiveness of work packages and drive continuous improvement.
• Manage Resources: Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed.

Job requirements

• Expertise with Reinforcement Learning and Machine Learning for at least one of these areas: Planning, LLMs, VLAs/VLMs, recommendation systems.
• Extensive experience with programming and algorithm design, strong mathematics skills.
• MS or PhD degree in computer science or related field.
• 5+ years of experience with production Machine Learning pipelines, with at least 3 years in a leadership or management role.
• Conference or Journal publications in Machine Learning or Robotics related venues.
• Prior experience working with autonomous vehicles or robotics, diffusion models, large scale training.