Senior Staff Robotics Research Scientist Dexterous & Mobile Manipulation
San Francisco, CA - USA
Job Summary
Today these therapies are produced through manual labor-intensive processes. Costs are extremely highoften $500K$2M per patientlimiting access to only a small fraction of those who need them.
As product complexity increases and the cost of failure and scientific labor rises the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible reliable and economically scalable.
- 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
- 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
- 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 planning (TAMP STRIPS MDPs etc)
- Experience with robotics toolkits (ROS/ROS2 OpenRAVE MoveIt! etc)
- Competitive Compensation: Salary range of $160000 - $210000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future were building.
- Premium Health: Premium Medical Dental and Vision plans with subsidies for child dependents.
- Wealth Building: 401(k) with a 4% company match to help you plan for the long term.
- Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs.
- Parental Support: Robust Paid Parental Leave to support your familys newest additions.
- True Flexibility: We offer Flexible PTO and 12 Paid Holidays trusting you to manage your time and recharge when you need it.
- No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar measuring success by impact and outcomes not hours logged.
- Office Perks: A vibrant SF office culture featuring catered team lunches stocked kitchen and frequent team events.
- H-1B and Green Card sponsorship available for exceptional talent.
- Referral bonuses for helping us build a world-class team.
- Great people meaningful work and a team that genuinely believes in what were building.
Required Experience:
Staff IC
About Company
We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work. Multiply Labs encourages candidates from all backgrounds to apply — even if you don’t meet every ... View more