Lila Sciences · 3 days ago
Research Scientist, Dexterous Manipulation & Robot Learning
Cambridge, MA
Full-time
Onsite
Senior Level
$176K/yr - $304K/yrLila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. As a Robotics Scientist, you will lead the research and development of autonomous robotic systems, focusing on creating intelligent solutions that enhance scientific discovery through advanced algorithms and human-robot collaboration.
Artificial Intelligence (AI)Foundational AILife ScienceSoftware
Responsibilities
Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments
Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts
Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representations and sophisticated motor learning policies for intelligent robotic systems
Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks
Qualification
Required
Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for robotic learning
Advanced proficiency in reinforcement learning, diffusion-based methods, imitation learning, and adaptive learning algorithms for robotic manipulation
Expert-level experience with machine learning frameworks (PyTorch, TensorFlow) and deep learning architectures for developing foundation models, with specific expertise in diffusion-based generative models for robotics
Proven track record of developing multi-modal perception systems integrating tactile, visual, language and other contextual sensing for intelligent robotic agents
Strong publication record in robot learning, demonstrating innovative approaches to trust calibration, contextual learning, and generative robotic skill learning
Preferred
Research contributions to foundation models and diffusion methods in robotics
Experience with large-scale machine learning model development, particularly generative and diffusion-based approaches
Expertise in human-in-the-loop learning, correction-based training paradigms, and diffusion-guided skill transfer
Demonstrated ability to translate theoretical machine learning research, especially diffusion and generative models, into practical robotic implementations
Benefits
Bonus potential
Generous early equity
Company
Lila Sciences
Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
Founded in 2023
201-500 employees
H1B Sponsorship
Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
Funding
Current Stage
Growth StageTotal Funding
$550MKey Investors
NVenturesFlagship Pioneering
2025-10-14Series A· $115M
2025-09-14Series A· $235M
2025-03-10Seed· $200M
Recent News
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2025-12-15
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