Senior AI Research Engineer at Agility Robotics

<div class="content-intro"><p>Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.</p></div><h1><span style="font-size: 12pt;"><strong>About The Role</strong></span></h1> <p><span style="font-size: 10pt;">The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production.</span></p> <h2><span style="font-size: 12pt;"><strong>About the Work</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design and implement new simulation environments and tasks to support training and deployment of control policies.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Develop, design, and test imitation learning methods</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production</span></li> </ul> <h2><span style="font-size: 12pt;"><strong>About You</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">3+ years of experience developing and deploying learning-from-demonstration</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with modern learning-from-demonstration tools like DiffusionPolicy</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with robot data collection, training, and testing on hardware to perform manipulation tasks.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">MS in Robotics, Computer Science, or a related field.</span></li> </ul> <h2><span style="font-size: 10pt;"><strong>Bonus Points</strong></span></h2> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">PhD in Robotics, Computer Science, or a related field.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with writing performant, high quality software in C++</span></li> </ul> <p>This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.</p> <p><em>The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.</em></p> <p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="title">Anticipated Salary Range</div><div class="pay-range"><span>$185,000</span><span class="divider">&mdash;</span><span>$288,000 USD</span></div></div></div><div class="content-conclusion"><p><strong><em>In addition to base pay, our competitive total rewards package consists of the following for full-time employees:</em></strong></p> <ul> <li><strong>401(k) Plan:</strong><span class="Apple-converted-space">&nbsp;</span>Includes a 6% company match.</li> <li><strong>Equity:</strong><span class="Apple-converted-space">&nbsp;</span>Company stock options.</li> <li><strong>Insurance Coverage:</strong><span class="Apple-converted-space">&nbsp;</span>100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.</li> <li><strong>Benefit Start Date:</strong><span class="Apple-converted-space">&nbsp;</span>Eligible for benefits on your first day of employment.</li> <li><strong>Well-Being Support:</strong><span class="Apple-converted-space">&nbsp;</span>Employee Assistance Program (EAP).</li> <li><strong>Time Off:</strong> <ul> <li><strong>Exempt Employees:</strong><span class="Apple-converted-space">&nbsp;</span>Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.</li> <li><strong>Non-Exempt Employees:</strong><span class="Apple-converted-space">&nbsp;</span>10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.</li> </ul> </li> <li><strong>On-Site Perks:</strong><span class="Apple-converted-space">&nbsp;</span>Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.</li> <li><strong>Parental Leave:</strong><span class="Apple-converted-space">&nbsp;</span>Generous paid parental leave programs.</li> <li><strong>Work Environment:</strong><span class="Apple-converted-space">&nbsp;</span>A culture that supports flexible work arrangements.</li> <li><strong>Growth Opportunities:</strong><span class="Apple-converted-space">&nbsp;</span>Professional development and tuition reimbursement programs.</li> <li><strong>Relocation Assistance:</strong><span class="Apple-converted-space">&nbsp;</span>Provided for eligible roles.</li> <li><strong>Annual Discretionary Bonus:</strong> Provided for eligible roles.</li> </ul> <p><span style="font-weight: 400;">All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.</span></p> <p><span style="font-weight: 400;">Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.</span></p> <p>&nbsp;</p> <p><strong>Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.&nbsp; We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page.&nbsp; If you are represented by a third party, your application may not be considered.&nbsp; To ensure full consideration, please apply directly.</strong></p> <p>&nbsp;</p> <p>Apply Now: <a href="https://grnh.se/b444bbd04us" target="_blank">https://grnh.se/b444bbd04us</a></p></div>