AI Engineer - Automation/Robotics 3

Job Description

Job Description

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.

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.

Job Responsibilities:
• 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 Client algorithms in simulation and on hardware.
• Integrate robotic control and perception stacks with simulation frameworks

Qualifications:
• Masters 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 TensorFlow or PyTorch

How will contractor performance be measured?
Performance will be measured by impact on research objectives. This includes developing new features, performing evaluations, or creating documentation. We practice an agile task planning process where we collaboratively decide on the duration and priority of tasks that make progress and impact clear to both parties.

Top 3 Must-Have HARD Skills & years of experience for each
Python – 5 years
Pytorch – 2 years
ROS2 – 1 year

What is the ideal background of a candidate for this role?
A candidate familiar with training robotic models such as vision-language-action models, diffusion models, reinforcement learning policies. In addition, familiarity with either simulation environments or robotic hardware is necessary for system integration.

Explain a typical day in the role.
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 finetuning runs of our internal VLAs and baseline external VLAs to be evaluated the next day.