Senior Machine Learning Engineer
About the role
Senior Machine Learning Engineer to join Ultra's NYC-based team, owning ML infrastructure and data systems to ingest, process, and serve petabytes of multimodal data for training neural network policies in a fast-growing robotics company.
Responsibilities
- Own our data platform and scale it to ingest large amounts of video streams and make them available for training in real time
- Own our ML infrastructure stack end-to-end, including distributed training, experiment tracking, and cluster management
- Build out data management systems and high-performance data access layers on top of PB+ scale multimodal data
- Collaborate with the research team on designing and running experiments as we rapidly improve our policies’ capabilities
- Maintain high availability and reliability of critical infrastructure
Qualifications
- 3+ years of experience in machine learning or related field (implied by Experience: 3+ years)
- Deep experience building and operating large-scale data systems (PB+ scale)
- Experience with real-time processing, streaming, and event-driven systems
- Experience building deep learning training and inference systems at scale
- Strong autonomy and high-trust environment fit
- Passion for robotics and physical AI
Skills
Benefits
- Not specified in the provided description

About Ultra
Practical, general-purpose robots for repetitive industrial tasks
Ultra builds practical, general-purpose robots that are deploying—and producing ROI—today. Unlike traditional industrial automation that’s rigid and complex, our robots are zero integration (able to be installed in hours, not weeks) and are highly flexible, capable of quickly learning new tasks and delivering immediate value to customers. Founded by a team of three-time entrepreneurs with a decade of collaboration, Ultra moves fast. We already have robots in the field generating revenue and data, with plans to rapidly scale deployments this year.
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