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Agility Robotics

Agility Robotics

Robotics · Humanoid robots

HQ
Oregon, US
Website
agilityrobotics.com

Currently tracking 10 active AI roles, down 15% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$402k (avg $227k).

Hiring
10 / 11
Momentum (4w)
↓-3 -15%
17 opens last 4w · 20 prior 4w
Salary range · avg $227k
$75k–$402k
USD · disclosed roles only
Tracked since
Jul '25
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
May 12
1 new role
Jun 30
1 new role
Sep 29
1 new role
Nov 17
1 new role
Jan 5
1 new role
19
2 new roles
26
2 new roles
Feb 2
2 new roles
Mar 2
1 new role
9
1 new role
16
6 new roles
23
2 new roles
30
8 new roles
Apr 6
4 new roles
13
5 new roles
20
6 new roles
27
3 new roles
May 4
3 new roles
11

Jobs (2)

10 AI · 48 total active
FilteredFunctionResearch×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 1Agent · 7Ship · 2
Function
AllEngineering · 9Research · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
AI Intern
AI Intern role focused on robot learning for humanoid robots, involving research projects in reinforcement learning, loco-manipulation, and improving data collection, training, and evaluation frameworks. The intern will work with robot hardware and analyze experimental data.
DataPost-trainResearchFremont +2Mar 118
Senior Manager, AI Innovation
Senior Manager of AI Innovation at Agility Robotics, a humanoid robotics company. This role bridges AI/ML research and functional robotic applications, driving research to derisk the product roadmap by solving complex robotics challenges (perceptive real-time planning, whole body-control, learning from demonstration) on a 1-2 year horizon. Responsibilities include overseeing innovation projects from concept to MVP on humanoid platforms, accelerating data flywheel strategy (teleoperation, synthetic data, fleet learning), partnering with hardware/software teams, and managing a team of researchers and engineers. Requires advanced degree, 8+ years AI/ML experience (3+ in management), demonstrated experience in real-time AI for robotics, expertise in computer vision, reinforcement learning, and LLMs for robotics, and experience deploying models on resource-constrained edge devices.
ShipDataResearchRemoteMar 68