AI Robotics Research Engineer

Posted 21 Hours Ago
Be an Early Applicant
San Francisco, CA
Mid level
Artificial Intelligence • Logistics • Robotics • Transportation
The Role
Nimble is seeking a Deep Reinforcement Learning Research Engineer to contribute to their robotics moonshot project. The engineer will design and implement reinforcement learning models to control a fleet of robots.
Summary Generated by Built In

About Nimble


Nimble is a robotics and AI company inventing and scaling autonomous logistics with intelligent robots to enable fast, efficient, and sustainable commerce. We’re developing generalized robot intelligence and building general-purpose mobile manipulator robots, the first in the world capable of performing all core warehouse functions. We've recently closed a $106M Series C funding round at a $1 billion valuation and we're continuing to grow our all-star team.


Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.


Our long-term vision is to invent the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.


We were founded from the AI labs at Stanford and Carnegie Mellon. We’re backed by the World’s most prestigious investors and Nimble’s Board of Directors includes AI and robotics legends like like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)! 


Link: Introducing Nimble – Intelligent Fulfillment Robots at Scale


Nimble's Core Values:

Be relentlessly resourceful - Challenge the status quo. Make the impossible, possible. Do whatever it takes.

Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.

Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.

Be dependable - Take ownership and deliver. Be loyal to your team and Nimble's mission.


The Role


Nimble is looking for a AI Research Engineers to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.


You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the world’s biggest robotics opportunity.

Responsibilities

  • Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more
  • Develop data collection pipelines
  • Design data annotation and labeling
  • Support implementation of models into production systems

Qualifications

  • M.S. or P.h.D in Robotics or Computer Science
  • Experience training deep learning models for robotic manipulation or mobility
  • Experience working with real robotic hardware
  • Experience training models in simulation and developing simulation environments
  • Experience collecting custom datasets
  • Experience training on open-source datasets
  • Strong track record of publishing papers and/or deploying real-world applications
  • Experience with system architecture, design and development

Additional Requirements

  • Must be able to work extended hours and weekends as needed
  • Must be able to work in San Francisco

Culture:

We embrace challenges and strive to make the impossible possible each day. We’re not in this to do what’s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We’re ambitious, we’re gritty, we’re humble and we’re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!


Press:


Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx 


Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance


Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.



Nimble's Benefits


Paid Time Off

Enjoy the time you need to travel, rejuvenate, and connect with friends and family.


Health Insurance

Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.


Paid Parental Leave

Enjoy paid bonding time following a birth.


Commuter Benefits

Take the stress out of commuting with access to fully-paid parking spots. 


Referral Bonus

Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 


401k

Contribute towards a 401k for retirement planning.


Equity

Be an owner in Nimble through our equity program

Top Skills

Deep Reinforcement Learning
The Company
HQ: San Francisco, CA
108 Employees
On-site Workplace
Year Founded: 2017

What We Do

Nimble is pioneering intelligent robotic manipulation to reinvent eCommerce fulfillment. Our founding team comes from the AI labs at Stanford and Carnegie Mellon. We're backed by famed robotics and AI legends like Fei-Fei Li and Sebastian Thrun.

Today, we provide end-to-end robotic picking solutions for goods-to-person picking, put-wall sorting and induction for eCommerce order fulfillment. Our robots integrate into production in 1 day requiring no changes to the WMS/WCS. Our solutions provide a stable labor force, cost savings, reduction in staffing churn, and boosted efficiencies. Using our proprietary human-in-the-loop supervision and AI framework we deliver unmatched reliability in handling any product from day 1.

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