Deep Reinforcement Learning Research Engineer

Nimble
US - California - San Francisco
September 10, 2024

About Nimble
Nimble is a robotics and AI startup founded from the AI labs at Stanford and Carnegie Mellon. We're pioneering the way robots learn to grasp and manipulate any object.
Our ultimate goal is to enable the dark warehouse, a fully automated eCommerce fulfillment center with swarms of intelligent, cloud-connected robots to enable affordable same-day fulfillment for every retailer, large and small. In the process, we aim to create one of the world's most valuable robotics companies.
We're backed by the world's most prestigious investors as well as AI and robotics legends 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)!
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Nimble's Core Values :

Be relentlessly resourceful - Find a way to 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 Deep Reinforcement Learning Research Engineer to help us advance our robotics moonshot by designing, developing, and implementing reinforcement learning algorithms controlling multiple robots for a stealth project.
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
Design and implement your own reinforcement learning models towards the end goal of controlling our fleet of robots.
Welcome new challenges and work independently across disciplines to investigate issues and identify solutions.
Design, implement, and evaluate models, agents, and software prototypes of perceptual processing.
Report and present research findings and developments including status and results clearly and efficiently verbally and in writing.
Suggest and engage in team collaborations to meet ambitious research goals.
Qualifications
Ph.D. in Deep Reinforcement Learning. Experience with multi-agent systems is preferred.
Strong track record of publishing papers and/or deploying real-world applications.
Experience with system architecture, design, and development.
Relevant experience to the position such as post-doctoral roles, with a proven track record of publications.
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!
Nimble's Benefits
Flexible PTO:
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.
Gym Reimbursement:
Nimble offers employees reimbursements to invest in their health and fitness.
Snacks and Drinks:
Enjoy unlimited free snacks and drinks in select offices.
Referral Bonus:
Get a cash bonus for any friend or colleague that you refer to us that we end up hiring.
401k:
Contribute towards a 401k for retirement planning.
Annual Team Retreat:
Once or twice a year, join the entire company for a trip to pause work, relax, and have fun as a team in destinations like Tahoe and Vegas.
Equity:
Be an owner in Nimble through our equity program.
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Read the full job description and apply online on the recuiter's web-site

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