Staff AI Engineer, Perception 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><p><span style="font-size: 10pt;">Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit’s success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms.</span></p> <p><span style="font-size: 12pt;"><strong>Responsibilities:</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Evaluate and drive adoption of state-of-the-art perception models</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Promote best practices in architecture, design, and testing to deliver high-quality, scalable software</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Optimize deep neural networks and associated data processing to run efficiently on embedded systems</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Requirements:</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Publications in your field (CVPR, ICCV, RSS, ICRA preferred)</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Bonus Qualifications:</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience using YOLO, Faster/Mask R-CNN</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience developing ML models for 3 or 6 dof pose estimation</span></li> </ul> <p>&nbsp;</p> <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><div class="content-pay-transparency"><div class="pay-input"><div class="title">Anticipated Salary Range</div><div class="pay-range"><span>$207,000</span><span class="divider">&mdash;</span><span>$323,000 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>