AI Engineer

Duration: 12 Months (Potential chances for extension)

Job Description:

Typical Day in the Role:

• Purpose of the Team:
  Our team is working on advancing the state of the art in robotic learning and foundation models.

• Disqualifiers:
  Candidates with employment gaps will not be eligible for the role.
• Best vs. Average:
  The ideal resume would contain PHD level work or studies in a robotics lab
• The main function of an AI Engineer
  - Robotics is to be responsible for creating, deploying, and maintaining AI and machine learning models. This specific role will be in support of Embodied AI and Robotics research.

• Fine-tune and improve a variety of sophisticated software implementation projects
• Architect, design and implement our test automation infrastructure.
• Develop training and evaluation pipelines using Azure Machine Learning
• Analyze and refine training datasets for robotic and AI applications
• Develop tools to provide fast deployment of novel algorithms in simulation and on hardware.
• Integrate robotic control and perception stacks with simulation frameworks

• Master’s degree in a technical field such as computer science, computer engineering or related field required
• 5-7 years of related experience required
• A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
• Experience with using simulation environments or robotic hardware
• Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems
• Experience in programming and experience with problem diagnosis and resolution
• Background in machine learning frameworks such as Tensor Flow or Py Torch

• A typical day would include integrating a new simulation or robotic arm with our robotic learning framework by adapting our server/client code to the new API. Followed by collecting and converting demonstrations in that environment into the correct format for training a model. Finally launch fine tuning runs of our internal VLAs and baseline external VLAs to be evaluated the next day.