Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling.
About The Role
The AI Engineering team builds the models and infrastructure that enable Digit to operate autonomously, efficiently, and safely. As a Staff AI Core Engineer, you will lead the development of the foundational tools, libraries, and data systems that power our AI teams to deliver robust and scalable learning-based capabilities for Digit.
This is a remote-friendly role with a preference for candidates located near one of our offices for in-person collaboration, meetings, and events.
About The Work
- 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.
About You
- 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.
Bonus Qualifications
- Experience deploying machine learning models into real-time or embedded systems.
- Experience managing cloud or on-premise GPU clusters, distributed training, or high-performance compute environments.
- Familiarity with experiment tracking tools (e.g. MLflow, Weights & Biases) and orchestration systems (e.g.Kubernetes).
- Background in robotics, perception, or control system applications.
Full-time Employees are eligible for Benefits:
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
