Job Description: Your Opportunity Chewy Robotics is seeking a Principal Research Scientist to join our Physical AI team in Woburn, MA. This is a senior individual contributor role for a scientist who can define and advan…
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$213k–$300k/yr
Full-time
postgraduate degree
401k, New Hire Equity Grant, Annual Equity Grant, Annual Bonus, Medical Insurance, Prescription Drug Insurance
Posted 30d ago
~40 hrs/week
Responsibilities
Define and lead the scientific roadmap for embodied AI and humanoid robot learning at Chewy. Develop and validate novel algorithms for manipulation and coordination to create capabilities that work on real-world robotic hardware.
Requirements
Requires a PhD in Robotics, Computer Science, or a related field with over 10 years of experience in embodied AI and machine learning. Must have a strong track record of publications and experience deploying policies on physical robots.
Full job description
Job Description:
Your Opportunity
Chewy Robotics is seeking a Principal Research Scientist to join our Physical AI team in Woburn, MA. This is a senior individual contributor role for a scientist who can define and advance Chewy’s research roadmap in embodied AI for humanoid and other high-DOF robotic systems.
You will lead breakthrough work at the intersection of reinforcement learning, imitation learning, vision-language-action models, multimodal perception, whole-body control, manipulation, and sim-to-real adaptation. You will help Chewy develop the next generation of robotic intelligence for physically demanding, high-variability workflows in real operating environments.
This role is for a scientist who is equally comfortable doing first-principles thinking and using modern large-scale learning methods. You should be excited to invent new algorithms, build evaluation frameworks, guide technical direction across teams, and turn research ideas into capabilities that work on real robots. Success in this role means raising Chewy’s scientific ambition while also creating measurable progress on hardware.
You will partner closely with roboticists, controls engineers, ML engineers, software engineers, and operations stakeholders to develop systems that can perceive, reason, learn, and act safely and robustly in the physical world.
What You’ll Do
Define and lead Chewy’s scientific roadmap for embodied AI and humanoid robot learning, with emphasis on reinforcement learning, imitation learning, VLA-style policy learning, and modern control approaches for real-world robotic systems
Invent, prototype, and validate novel algorithms for manipulation, loco-manipulation, whole-body coordination, multimodal perception, policy adaptation, and task generalization across environments and robot embodiments
Develop learning systems that combine data-driven policies with principled robotics methods such as planning, control, system identification, estimation, and safety-constrained execution
Drive advances in simulation, synthetic data generation, offline and online evaluation, benchmarking, and sim-to-real transfer to accelerate learning and reduce time to deployment
Build and evaluate robot learning pipelines that leverage vision, language, proprioception, force, and touch to enable robust performance on complex physical tasks
Partner with cross-functional teams to translate ambiguous business needs into tractable scientific programs, technical milestones, and experimental roadmaps
Influence the architecture of Chewy’s physical AI stack, including model training strategy, data engines, evaluation methodology, and integration with real robot platforms
Establish technical standards for scientific rigor, experiment design, ablation studies, reproducibility, and model evaluation across the team
Publish, patent, and communicate high-impact work internally and externally, helping strengthen Chewy’s reputation in robotics and embodied AI
Mentor scientists and engineers, raise the bar for technical depth and judgment, and serve as a trusted technical advisor to senior leadership
What You’ll Need
PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical field
10+ years of relevant experience in robotics research, embodied AI, machine learning, controls, or a closely related domain
Deep expertise in several of the following areas
reinforcement learning
imitation learning or behavior cloning
offline RL or policy improvement from logged data
vision-language-action models or embodied foundation models
robot manipulation and loco-manipulation
whole-body control, MPC, or optimization-based control
system identification, state estimation, or sensor fusion
sim-to-real transfer and domain adaptation
Demonstrated track record of developing novel methods that improved real robot performance, not just offline benchmarks
Strong publication, patent, and/or open-source record in top-tier robotics or machine learning venues such as CoRL, RSS, ICRA, IROS, NeurIPS, ICML, or related forums
Strong software and research engineering skills in Python and C++, with experience in modern ML frameworks such as PyTorch and/or JAX
Experience with robotics tooling and simulation environments such as ROS2, Isaac Lab, Isaac Sim, MuJoCo, Gazebo, or equivalent platforms
Proven ability to operate as a top-level technical leader in ambiguous environments, influence without authority, and communicate effectively with executive stakeholders
Bonus
Experience training and deploying policies on humanoid robots or other dynamically complex platforms such as legged robots or mobile manipulators
Experience with dexterous or force-sensitive manipulation, deformable object handling, or contact-rich tasks
Experience building or adapting foundation models for robotics, including multimodal representation learning or action modeling
Experience combining learned policies with classical controls, planners, or safety layers for production-grade systems
Experience working on warehouse, logistics, or industrial robotics applications
Experience leading external collaborations with academic labs, research partners, or strategic technical vendors
Why You’ll Love This Role
You will define foundational technical direction in one of Chewy’s most ambitious investment areas
You will have the freedom to work on long-horizon scientific problems while staying close to real hardware and real operational impact
You will help shape how embodied AI gets built inside a company with meaningful physical problems, strong executive interest, and room to create new capabilities from the ground up
The base salary range for this role is $213,000 - $300,000.00.
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere.
Industry
Retail
Company size
10,001+ employees
Founded
2011
Headquarters
Plantation, Florida
LinkedIn followers
465,281
Total funding
$951M
At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere.
We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.
Offices: 7700 W Sunrise Blvd, Plantation, Florida 33322, US · 385 Milan Drive, Sparks, NV 89434, US · 1974 Innovation Blvd., Clayton, IN 46118, US · 343 Congress Street, Boston, MA 02210, US · 1950 North Stemmons Highway, Suite 3060, Dallas, Texas 75207, US
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