A research scientist role focused on developing advanced post-training methods for Vision-Language-Action models in robotics, aiming to improve model robustness, alignment, and adaptability in real-world robotic applications through continual learning techniques.
Key Responsibilities
Advance post-training methods for Vision-Language-Action models in robotics
Improve model alignment, robustness, and adaptability in real-world robotic settings
Develop algorithms and frameworks for persistent learning and data efficiency in embodied systems
Requirements
Experience in developing post-training methods for Vision-Language-Action (VLA) models in robotics.
Ability to improve model alignment, robustness, and adaptability in real-world robotic settings through advanced post-training and continual learning techniques.
Proficiency in developing algorithms and frameworks that enable persistent learning and optimize data efficiency in embodied systems.
Benefits & Perks
Compensation/salary range: $176,000 to $253,000 per year (California-based roles)
Work schedule: Not specified
Work environment perks: Medical, dental, and vision insurance; 401(k) eligibility; paid time off including vacation, sick leave, and parental leave; annual cash bonus
Additional benefits: Not specified beyond the listed perks
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