🕒 2 days ago
Lidera e desenvolve a equipe de Engenharia de IA, define o roadmap e gerencia iniciativas de IA Generativa e agentes, garantindo uma plataforma escalável, segura e governada alinhada às prioridades do negócio.
Manager, Onboard Behavior Encoder
📅 Jul 1
Reinforcement LearningMachine LearningPlanningLLMs
📜 Description
- Manage, mentor, and grow a team of individual contributors.
- Set short- and long-term technical strategy for onboard behavior models that generate autonomous driving plans.
- Partner with cross-functional teams to identify opportunities to improve models.
- Guide the design and development of large-scale model training and support efficient inference with partner teams.
- Establish and monitor KPIs to drive continuous improvement.
- Allocate team resources and ensure projects are appropriately staffed and supported.
🛠️ 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.
Full job description
The Onboard Behavior Model Architecture team is responsible for developing deep learning models that leverage data and compute at large scale to train driving models. We learn and predict behaviors from large scale expert data and large scale reinforcement learning to produce a ML driver that is safe, comfortable, and completes the mission. In this role, you will collaborate closely with the Onboard Perception, Cost Planner, Simulation, Validation, Data Science, Systems Engineering, QA, and ML Infra teams.
In this role, you will:
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. You will interface with multiple partner teams to identify opportunities for model improvements within their problem area. You’ll be setting the short and long term technical direction for the team and collaborate on broader company-wide directions.
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.
Qualifications
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.
Bonus Qualifications
Conference or Journal publications in Machine Learning or Robotics related venues.
Prior experience working with autonomous vehicles or robotics, diffusion models, large scale training.
Similar jobs
Search more Engineering Manager jobs
🕒 2 days ago
Lead the Growth Platform organization and its multi-year strategy, unifying growth systems and applying ML and AI agents to improve targeting, experimentation, personalization, and team execution.
🕒 2 days ago
Lead an interdisciplinary engineering and data team building and operating machine learning systems for search, recommendations, and personalization, setting technical direction and delivering reliable solutions at scale.
Engineering Manager/Tech Lead Manager - Runtime Engineering
🕒 yesterday
Snowflake👥 10,000+ employees🏢 Software Development
🕒 yesterday
Leads a team building Spark compiler and runtime capabilities, setting technical direction and guiding architecture while improving workload correctness, performance, reliability, and cost-efficiency.
Engineering Team Lead (Identity Verification)
🕒 yesterday
Transmit Security👥 201 - 500 employees🏢 Computer Software
🕒 yesterday
Lead and mentor an engineering team while owning the design, architecture, and delivery of complex SaaS features across backend, web, and mobile in high-scale production environments.