Senior / Staff Robotics Research Scientist - Dexterous & Mobile Manipulation

Multiply Labs; San Francisco (CA); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

401K with 4% company match

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Partial Health Insurance for Child Dependents

HSA or FSA

Catered lunch twice a week

Pre-tax Commuter Benefit

10 Paid Holidays

Flexible PTO

Paid Parental Leave

Job summary

A cutting-edge robotics startup is looking for a Research Scientist to enhance their robotic manipulation systems. This role entails advancing research, collaborating on publications, and prototyping solutions within a multi-disciplinary team. The ideal candidate has a strong grasp of modern robotic methods and 5+ years of relevant experience, alongside a solid publication record in prestigious conferences. Compensation ranges from $160,000 to $210,000 annually, with equity options available.

Qualifications

• 5+ years of experience in research and development.
• Strong theoretical and practical understanding of robotic manipulation methods.
• Proven track record of publications in top-tier conferences.

Responsibilities

• Advance robotic manipulation systems through innovative research.
• Collaborate on publications for international conferences.
• Develop prototypes with a multi-disciplinary team.

Skills

Python

Deep learning frameworks (e.g., PyTorch)

Robotic manipulation

Research and development

Education

MS or PhD in a robotics-relevant field

Tools

Robotics simulation environments (Isaac Sim, MuJoCo, PyBullet)

Job description

About Multiply Labs

Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. Our mission is to build the best robots in the world, and use them to make the most advanced life-saving therapies accessible to all.

We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need.

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

• 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 planning (TAMP, STRIPS, MDPs, etc)
• Experience with robotics toolkits (ROS/ROS2, OpenRAVE, MoveIt!, etc)

Benefits

• 401K with 4% company match
• Health Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Partial Health Insurance for Child Dependents
• HSA or FSA
• Twice weekly catered lunch (for team members in SF office)
• Pre-tax Commuter Benefit
• 10 Paid Holidays
• Flexible PTO
• Paid Parental Leave

Multiply Labs will review the benefit offerings periodically and the benefit options are subject to change to meet employee and business needs.

$160,000 - $210,000 a year

Multiply Labs is an early-stage startup where equity is a major part of the compensation package.

Our job titles may span multiple career levels. Actual base pay is determined by several factors including: education, training, transferable skills, work experience, business needs, and location.

We take pride in cultivating an environment that fosters collaboration, open communication, and authenticity. We are an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are diverse in background and singular in mission.