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Machine Learning Engineer

2 months ago

Austin, United States Roboligent Full time

Introduction


Roboligent manufactures mobile manipulator robots with human-inspired behaviors, utilizing patent-pending force-control actuators.


Optimo

An application for our robot manipulator includes building robots that can become increasingly integrated into our daily work and life. This new robot manipulator is well-suited for the evolving era of robot automation. Designed to replicate human arm capabilities with exceptional sensitivity, it offers reliable performance and prioritizes safety. With its advanced functionality, it has the potential to bring about positive changes in various industries by enhancing productivity and cost-efficiency. We are currently offering this robot arm as a research platform to research institutions and other R&D teams.


Regen

One of the specialized applications of the Optimo robot includes developing medical devices that improve the quality of life for patients with neuromuscular impairments. By automating physical therapy exercises for musculoskeletal rehabilitation, our technology boosts clinical outcomes and enhances the productivity of rehabilitation centers. The medical device follows regulatory guidelines from the FDA and IEC (IEC 60601, IEC 80601, and IEC 62304).


Dex

Another application for the Optimo arm, is with an AMR for warehouse manipulation. We are currently developing methods to train ML algorithms for various tasks such as charging and material transport, in collaboration with human workers. 


Responsibilities

  • Design ML algorithms for warehouse manipulation
  • Develop and maintain scalable ML pipelines, involving cloud and CI/CD pipelines
  • Manage technical requirements and budget for models
  • Collaborate with the engineering team for automated model training
  • Train and tune model performance based off of actual hardware behavior
  • Work with LLM API’s for high level commands of the AMR


Required Skills

  • ML Frameworks (PyTorch, Scikit)
  • Cloud deployment (Azure, AWS)
  • Knowledge in the latest literature in imitation and reinforcement learning
  • Experience with developing ML algorithms for performing tasks with a robotic manipulator 


Preferred Skills

  • Experience with deploying ML algorithms to an embedded device, such as an Nvidia Jetson

-TensorRT

  • TensorFlow
  • Multimodal LLM
  • ROS2


Minimum Qualifications

Masters Degree with 2 to 5 years of work experience, all in relevant fields

OR

Bachelors Degree with 4+ years of work experience in machine learning