Senior Staff AI Engineer, Agility Robotics
Senior/staff - can set the exp as senior to staff :)
Robotic automation for the warehouse and logistics
Job no longer available
Robotic automation for the warehouse and logistics
201-500 employees
Job no longer available
Senior/staff - can set the exp as senior to staff :)
201-500 employees
Company mission
To make businesses more productive and people's lives more fulfilling.
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 the 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 labour 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.
It's advancing humanoid robotics with its robot, Digit, already working in logistics and delivery. With partnerships like Schaeffler AG and a new production facility, Agility is scaling up operations. Digit's tasks, including package handling, and future plans for self-replication, position the company to address labor shortages. As it enhanced Digit's AI and safety features, Agility is preparing for a future where robots and humans work together, shaping the digital workforce.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
87% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2025
$400m
LATE VC
Oct 2024
$150m
SERIES C
Total funding: $728m
Company benefits
- 100% Company Paid Disability, Life, Health, Dental & Vision Insurance (for AR employees)
- Employer Matched Retirement Plan
- Five Weeks of Paid Time Off Annually
- Paid Parental Leave
- Employee Referral Bonus Program
- Relocation Assistance (for certain roles)
- Stock Options (for certain roles)
- A culture that encourages flexible work schedules
- A culture that embraces individuality and authenticity
Company HQ
Southeast Mill Creek, Salem, OR
Leadership
Peggy Johnson
(CEO)Joined Agility Robotics in 2024 as CEO. Prior to this, they were the CEO of Magic Leap. They also spent 6 years at Microsoft as an Executive Vice President of Business Development and 25 years at Qualcomm as an Executive Vice President of Global Market Development.
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