Staff AI Engineer, Perception

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.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.Responsibilities:As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in productionDesign, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimationEvaluate and drive adoption of state-of-the-art perception modelsPromote best practices in architecture, design, and testing to deliver high-quality, scalable softwareOptimize deep neural networks and associated data processing to run efficiently on embedded systemsCollaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirementsRequirements: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 roleProficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimationStrong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer visionFamiliarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc.Experience designing and optimizing algorithms for efficient execution across CPU and GPU architecturesExperience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deploymentPublications in your field (CVPR, ICCV, RSS, ICRA preferred)Bonus Qualifications:Experience using YOLO, Faster/Mask R-CNNExperience developing ML models for 3 or 6 dof pose estimationThis a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.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.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match.Equity: Company stock options.Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.Benefit Start Date: Eligible for benefits on your first day of employment.Well-Being Support: Employee Assistance Program (EAP).Time Off:Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.Parental Leave: Generous paid parental leave programs.Work Environment: A culture that supports flexible work arrangements.Growth Opportunities: Professional development and tuition reimbursement programs.Relocation Assistance: Provided for eligible roles.Annual Discretionary Bonus: Provided for eligible roles.All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.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.Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.Apply Now: https://grnh.se/b444bbd04us