Senior / Staff Robotics Research Scientist - Dexterous & Mobile Manipulation

Join the Future of Robotic Biomanufacturing!
Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics - including cell therapies, gene therapies, mRNA therapies, and more.
Currently, advanced biological therapies are produced through manual, labor-intensive processes. This keeps costs astronomical—often exceeding $0.5M-$2M per patient—and limits access to only a fraction of those in need. 
As labor scarcity for scientists compound against increased product complexity and sky-high costs of failure, the emergence of robotics and AI makes the automated manufacturing of biologics feasible, reliable, and economically scalable. 
We envision that the biomanufacturing factory of the future is fully robotic - closed, automated, and scalable, making therapeutics for some of the most important indications for patients today widely accessible.  
Why This Matters
We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients.
The Stack & The Scale
The Mission: Build the world’s best robots to make life-saving therapies accessible to all.The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.The Location: Headquartered in San Francisco, CA.The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator.
To learn more and to view a video of our robots in action, visit us at www.multiplylabs.com and follow us on LinkedIn.
About the Role
At Multiply Labs, we are applying AI to solve complex manipulation challenges in robotic cell therapy manufacturing. We're looking for a Research Scientist specializing in robotic manipulation to develop the next generation of our intelligent robotic systems.
You will be responsible for developing frontier research results, developing and deploying practical systems with a core focus on dexterous & mobile manipulation.You will work closely with a multi-disciplinary team and directly impacting our mission to manufacture life-saving therapies at scale.

Responsibilities include:

• Research focused on advancing robotic manipulation systems by developing exciting new ideas and providing solutions to complex problems
• Collaborate on publications to be submitted at worldwide conferences
• Working with fellow researchers and engineers to develop prototypes
• Apply yours and others’ research to real world problems

Requirements

• MS or PhD in a robotics-relevant field
• 5+ years of experience in research and development
• A strong theoretical and practical understanding of modern approaches for robotic manipulation, which might include imitation learning, reinforcement learning, and vision-language-action (VLA) models
• High proficiency with Python and deep learning frameworks (e.g., PyTorch).
• Experience collaborating in large and complex code bases
• Experience with modern robotics simulation environments designed for ML (e.g., Isaac Sim, MuJoCo, PyBullet).
• A track record of deploying onto physical robot hardware, especially high-degree-of-freedom manipulators or humanoids.
• Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields
• Robotics: ICRA, IROS, CoRL, RSS, TRO, IJRR, etc
• Computer vision: CVPR, ICCV, ECCV, etc
• Machine Learning: NeurIPS, ICLR, ICML, etc

Nice to Haves

• The following is an example list of expertise - because robotics is such a broad umbrella, we do not expect candidates to check every item here; if you have an expertise that is not listed here, please also let us know via the cover letter.


• Experience with planning algorithms (A, RRT, PRM, etc)
• Experience with controller design (linear/nonlinear/optimal/robust/adaptive control, LQR, DDP, MPC, etc)
• Experience with optimization techniques (linear/quadratic/semidefinite/nonlinear optimization, etc)
• Experience with dynamics modeling (linear, nonlinear, Euler-Lagrange, Newton-Euler, Featherstone, etc)
• Experience with partial sensing (POMDPs, Kalman filters, particle filters, etc)
• Experience with task pl