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Machine Learning Scientist

Ultra· Engineering
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New York, NY$150k - $275k + equityFull-timePosted 11mo ago

About the role

Machine Learning Scientist role at Ultra, NYC-based in-person company focused on practical, general-purpose robots for repetitive manipulation tasks. Early-stage with fast pace and high autonomy.

Responsibilities

  • - Improve our robots’ ability to quickly learn new tasks and to execute those tasks quickly and reliably
  • - Train VLA (vision-language-action) models for grasping and manipulation tasks on our robots using simulation and real-robot datasets
  • - Keep up with cutting edge research on robot learning (RL, imitation learning, etc.) and evaluate them to improve our stack
  • - Build pipelines to collect and curate data coming off our production robots
  • - Optimize our models for large scale training and low-latency edge inference
  • - Integrate trained models with our production robotics stack and work with deployment teams to scale models across varying warehouse configurations

Qualifications

  • - Experienced with model training, deployment, and maintenance in a production environment
  • - Strong skills in deep learning and related tooling (e.g. Pytorch, Tensorflow, Ray, etc.)
  • - You know how to deploy high-quality production code as a part of a software team and care deeply about good engineering
  • - You thrive in a high-trust, high-autonomy environment
  • - You’re hungry for impact and personal growth, and like to have fun in the pursuit
  • - You are a generalist who enjoys getting your hands dirty across the whole stack ML stack from R&D through production
  • - Deeply passionate about robotics and AI

Skills

Required:PythonMachine LearningDeep LearningPytorch
Nice to have:TensorflowRay

Benefits

  • Not explicitly listed in the job description
Last updated Oct 21, 2026. Interested? Apply on the company site.
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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.

roboticslogisticsaiindustrial
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