Senior Staff AI Engineer, Agility Robotics
Senior/staff - can set the exp as senior to staff :)
Robotic automation for the warehouse and logistics
Open for applications
Robotic automation for the warehouse and logistics
201-500 employees
Open for applications
Senior/staff - can set the exp as senior to staff :)
201-500 employees
Company mission
To build robot partners to augment the workforce.
Role
Who you are
- You love pursuing novel ideas and making them real, are a great communicator, and enjoy working with a highly capable team
- You are a fast learner and interested in reading and adapting the latest techniques and models in the emerging AI landscape to new applications
- You are a creative engineer who builds systems from the ground up
- PhD in machine learning, computer science, math or related field, or equivalent experience
- 5+ years experience developing and applying AI/ML methods in industry
- Experience developing for and operating physical robots
- Publications in top machine learning conferences (ICML, NeurIPS, CoRL etc)
- A track record of coming up with new ideas or improving upon existing ideas in machine learning or robotics
- Proficiency with Python and extensive experience with hardware accelerated tensor libraries such as PyTorch or JAX
Desirable
- Experience training visuomotor policies and deploying them to hardware
- Experience training and fine tuning large transformer models (of any modality)
- Experience in neural network deployment toolchains such as ONNX, TensorRT
What the job involves
- As a Senior/Staff AI Engineer, you will be a team leader, working with experienced hardware and software engineers to develop cutting-edge autonomous capabilities for our humanoid robots
- You will focus on areas such as training foundational visuomotor policies for manipulation and locomotion, planning through learned embeddings of goals, tasks and environments and leveraging text and image foundation models for multi-modal conditioning
- You will utilize supervised, unsupervised and reinforcement learning methods on both simulation and hardware data
- Team leadership: roughly 50% individual contributor, 50% managing a highly capable team
- Stay up to date with the state of the art in reinforcement learning, imitation learning and generative models
- Apply, implement and improve state of the art machine learning algorithms and models and test them in real-world environments and hardware
- Own and pursue a research agenda, aligned with the innovation leadership, picking the most promising and impactful problems to work on
- Train models on collocated and cloud compute clusters with data from a variety of sources
- Full-time role, 40 hrs / week
Our take
Agility Robotics was founded with an aim of empowering the blended workforce, where humans and human-movement-enabled robots work side by side. Though there’s still plenty of wariness about what workplace robots might mean for the future of the workforce, the amount of R&D and Venture Capital funding into the space – coupled with an acute labor shortage – suggests that there’s no holding it back.
The company, founded by a team of Robotics and Bioengineering academics, has hit the headlines a number of times in the last few years for the mobility and dexterity of its robots which can walk around, move packages, and unload trailers (as well as climb stairs and run a 5K). This ability to run could have a huge impact, as it opens up the potential not just to work in warehouses and factories, but to complete last-mile deliveries – an ambition that Agility Robotics has made public.
The last few years has seen Agility Robotic secure nine figure funding as it looks to expand its operations. In 2023, the company announced the new face of its bipedal robot digit, that now sports a head and set of LED eyes - an improvement that should make it easier for humans to understand its actions (such as changing direction) and further enhance its performance within a blended workface.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Oct 2024
$150m
SERIES C
Apr 2022
$150m
SERIES B
Total funding: $328m
Company benefits
- Remote work friendly (role-dependent)
- Employer-matched retirement plan (401k)
- Stock options possible for some employees
- 100% paid high-quality health, dental and vision, plus short/long term disability insurance
- Five weeks of paid vacation
- Unlimited sick days
- A great selection of healthy snacks & refreshments on-site
- Generous parental leave programs
- Catered lunch 2x per week
- A culture that encourages flexible work
- Relocation assistance for specific roles
Company HQ
Tangent, OR
Articles
Leadership
Damion Shelton
(CEO)Spent five years at the University of Pittsburgh teaching Computer Applications in Bioengineering before joining 3D scanner company threeRivers 3D as CTO.
Jonathan Hurst
(Chief Robot Officer)Was a Professor of Robotics at Oregon State University for 14 years. Served as CTO of the company prior to becoming Chief Robot Officer.
Mikhail Jones
(VP of Software)Former Operations Manager at the Oregon State University Efficiency Center. Also worked for the university as a Faculty Research Assistant and Graduate Teaching Assistant.
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