AI Engineer

BCforward; Redmond (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

BCforward seeks an AI Engineer – Robotics for a 12-month engagement in Redmond, WA. The role supports embodied AI and robotics research, focusing on building, deploying, and maintaining AI/ML models within robotic systems.

Responsibilities include integrating simulations with learning frameworks, developing training/evaluation pipelines in Azure ML, and refining datasets for robotic applications while enabling fast deployment to hardware and simulation environments.

Qualifications

• Master’s degree in a technical field is required.
• 5-7 years of related experience.
• Solid foundation in CS, data structures, algorithms, and software design.
• Experience with simulation environments or robotic hardware.
• In-depth troubleshooting and unit testing of production systems.
• Programming experience and problem diagnosis/resolution.
• Background in ML frameworks such as TensorFlow or PyTorch.

Responsibilities

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

Skills

Data structures and algorithms

Software design

Troubleshooting

Programming

Education

Master’s degree in CS/CE or related field

Tools

TensorFlow

PyTorch

Job description

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.

Candidate Requirements:

• 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.

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 novel algorithms in simulation and on hardware.
• Integrate robotic control and perception stacks with simulation frameworks

Qualifications:

• 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 TensorFlow or PyTorch

Typical day in 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.