
Hardware • Artificial Intelligence • Enterprise
Agility Robotics is a leading manufacturer of mobile manipulation robots, known for their humanoid robot Digit. The company focuses on deploying its robots in commercial settings, such as material handling workflows, to enhance productivity across various industries including third-party logistics, manufacturing, and retail & eCommerce. With their innovative cloud automation solution, Agility Arc, these robots provide game-changing automation solutions. Agility Robotics aims to revolutionize labor by integrating humanoid robots in settings where meaningful work and economic value are crucial.
6 hours ago

Hardware • Artificial Intelligence • Enterprise
Agility Robotics is a leading manufacturer of mobile manipulation robots, known for their humanoid robot Digit. The company focuses on deploying its robots in commercial settings, such as material handling workflows, to enhance productivity across various industries including third-party logistics, manufacturing, and retail & eCommerce. With their innovative cloud automation solution, Agility Arc, these robots provide game-changing automation solutions. Agility Robotics aims to revolutionize labor by integrating humanoid robots in settings where meaningful work and economic value are crucial.
• Develop data pipelines and curation workflows to maintain high-quality datasets for perception, locomotion, and manipulation tasks. • Design, build, and maintain scalable AI infrastructure, including shared libraries, model training pipelines, and evaluation frameworks. • Build dashboards, visualization tools, and reusable metrics to monitor and improve model performance and operational readiness. • Define and implement testing, validation, and reproducibility tools to ensure reliable deployment of models on Digit. • Collaborate with skills and control teams to integrate models efficiently into production systems, including real-time execution environments. • Promote best practices for data management, experiment tracking, and ML operations across the AI Engineering organization.
• 8+ years of professional experience in AI infrastructure, ML engineering, or MLOps roles. • Strong software engineering skills, particularly in Python; proficiency in developing scalable, maintainable libraries and tools. • Experience building and maintaining ML pipelines, from dataset curation to training, evaluation, and deployment. • Familiarity with training frameworks such as PyTorch or TensorFlow. • Practical understanding of data-driven model development, including dataset management, reproducibility, and performance monitoring. • Excellent communication skills and a collaborative mindset for working across AI, controls, and robotics software teams.
• 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.
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