About the position
As a ML Platform Engineer on the Central Software (CSW) team, you will play an active role in implementing the tools, infrastructure, and pipelines that unify how our product and research teams get stuff done. This is your chance to work closely with ML/RL engineers and researchers from across BD, supporting product and advanced research activities at the forefront of robotics innovation.
Responsibilities
- Transform proofs of concepts into scalable solutions, helping product teams deliver new robot capabilities to customers.
- Evolve and scale fielded solutions, enabling continuous model improvement and redeployment.
- Dig into and optimize both cloud and on-robot ML system implementations, for accuracy and efficiency.
- Work closely with other members of the ML Platform team to implement, deploy, and maintain ML infrastructure.
- Work with stakeholders across BD to understand requirements, ensuring deployed solutions meet end-user needs.
- Own end-to-end delivery of new capabilities, spanning implementation, testing, deploying, and operations.
- Be an active participant in our agile development process, coordinating work with others, calling out challenges, and communicating progress regularly.
- Use your experience to mentor/upskill peers and other contributors across the organization.
Requirements
- Hands-on experience or Interest in ML application for robotics.
- 5+ years experience as a Senior Software Engineer or ML engineer.
- Demonstrated proficiency in Python, Julia, or R, and related frameworks (PyTorch, Tensorflow, Pandas, Numpy).
- Knowledge of distributed computing & big data technologies for large datasets (e.g., Spark) and building data pipelines.
- Knowledge of Deep Learning methodologies specific to Computer Vision like YOLO.
- Experience with Annotation tools using SAM, Co-Tracker, etc. is a plus.
- Familiarity with cloud platform (e.g., Google, AWS) and scalable ML deployment methods (Docker, K8s, Ansible, Terraform).
- Experience with data processing, data augmentation and data cleaning techniques.
- Experience with Agile, Scrum or other lean methods.
- Ability to work collaboratively in cross-functional teams.
- Bachelors in Engineering, Computer Science, or other technical area.
