Senior Applied Scientist - Robotic Foundation Models
Senior Applied Scientist - Robotic Foundation Models
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Job Description
Job Description
Work Arrangement
Onsite - This position requires the employee to be onsite full time. The primary work location will be at the General Motors Global Technical Center in Warren MI.
The Role
We are seeking a Senior Applied Scientist Robotic Foundation Models to join our Advanced Development team within the Autonomous Robotics Center (ARC). In this role you will research and develop state-of-the-art AI/ML approaches especially Foundation Models to tackle challenging problems in the areas of robot perception whole-body motion planning/controls spatial safety and autonomous manipulation.
Joining our team will provide you with the opportunity to work on cutting-edge technologies contribute to innovation and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring that our systems are at the forefront of the industry.
What Youll Do:
Drive independent research and prototyping initiatives in robotics foundation models and reinforcement learning models focusing on breakthrough approaches in perception and manipulation for example open-vocabulary panoptic scene understanding scaling up multi-modal LLMs sim2real/real2sim techniques end-to-end vision-language-action (VLA) models efficient model inference video tokenization
Lead technical projects from conceptualization through implementation enabling robust performance in real world applications
Work with engineers to process and prepare training data including data governance provenance tracking data quality checks and creating reusable data pipelines.
Design and execute experiments to test model capabilities on the simulator and on the embodiment validate performance across different scenarios create a baseline and iteratively improve model performance.
Work closely with R&D engineers and leaders across multiple teams participate in knowledge sharing support integration efforts with robotics hardware teams and help document best practices and methodologies.
Stay updated with emerging technologies and best practices in robotics and lead and participate academic/industrial collaborations.
Contribute to the teams technical strategy and help shape our approach to next-generation robotics challenges.
Generate intellectual property document results and publish papers.
Additional Job Description
Your Skills & Abilities (Required Qualifications)
- 3 years of first-hand professional experience in Machine Learning and data driven approaches to visual perception and autonomy problems with a good understanding of recent ML approaches such as LLMs & ViTs.
- Proficiency in Python or C with hands-on experience on Machine Learning frameworks (e.g. PyTorch) and model development including training tuning and optimization for realistic applications.
- Familiarity with 3D computer vision and/or graphics pipelines.
- MSc in Computer Science Electrical Engineering Robotics or a related field.
- Passionate about robotics with a strong desire to accelerate the application of robotics with AI.
What Will Give You a Competitive Edge (Preferred Qualifications)
- PhD in Computer Science Machine Learning Robotics Computer Vision or a related research field.
- A track record of relevant publications (e.g. ICRA IROS NeurIPS ICML CVPR ICCV RSS CoRL) or product deliverables.
- Hands-on robotics experience such as autonomous vehicles (AV) ADAS or industrial automation systems in manufacturing environments.
- Experience with robotics frameworks such as ROS/ROS2 (e.g. Nav2 MoveIt).
- Understanding of CI/CD pipelines and modern software development practices.
This role may be eligible for relocation benefits.
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Required Experience:
Senior IC
Employment Type
Full-Time
