AI Engineer

Microsoft; Redmond (WA); On-site; USD 114,000 - 129,000; Full time

Benefits offered by this job

Medical benefits

401k plan

Life insurance

Disability insurance

HSA/DCA

Job summary

Microsoft in Redmond, WA seeks an AI Engineer (Contract) focused on robotics and embodied intelligence to develop, deploy, and maintain AI/ML models for Embodied AI and Robotics research. You will integrate simulation environments or robotic arms with learning frameworks and build training pipelines.

Applicants should have 5–7 years in AI/robotics, strong Python and PyTorch skills, ROS2 experience, and a Master’s degree. This onsite, 13-month contract offers competitive pay and robust benefits.

Qualifications

• 5 to 7 years of related experience in AI engineering, machine learning, or robotics.
• Demonstrated experience integrating robotic control and perception stacks with simulation frameworks.
• Hands-on experience developing and maintaining training and evaluation pipelines.
• Experience working with robotic hardware or simulation environments in a research or production context.
• Master's degree in Computer Science, Computer Engineering, or a related technical field is required.
• Strong proficiency in Python (5+ years).
• Hands-on experience with PyTorch (2+ years).
• Experience with ROS2 (1+ year).
• Solid foundation in data structures, algorithms, and software design.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with training robotic models including vision-language-action models, diffusion models, and reinforcement learning policies.
• Experience with simulation environments or robotic hardware for system integration.
• Experience performing in-depth troubleshooting and unit testing on both new and legacy production systems.
• Strong problem diagnosis and resolution skills.

Responsibilities

• Fine-tune and enhance a range of sophisticated software implementation projects.
• Architect, design, and implement test automation infrastructure.
• Build training and evaluation pipelines using Azure Machine Learning.
• Analyze and refine training datasets for robotic and AI applications.
• Develop tools that support rapid deployment of novel algorithms in simulation and on hardware.
• Integrate robotic control and perception stacks with simulation frameworks.
• Adapt server/client code to new robotic or simulation APIs during system integration.
• Collect and convert demonstration data into the correct formats for model training.
• Launch and monitor fine-tuning runs for vision-language-action and diffusion models.

Skills

Python proficiency

Machine learning

Robotics integration

Testing & debugging

Communication

Education

Master's degree in CS/CE

PhD-level academic work

Tools

Azure Machine Learning

PyTorch

ROS2

TensorFlow

Job description

The AI Engineer (Contract) role is focused on robotics and embodied intelligence, supporting the creation, deployment, and ongoing maintenance of AI and machine learning models for research in Embodied AI and Robotics. The work includes integrating simulation environments or robotic arms with learning frameworks, assembling training and evaluation pipelines, and running fine-tuning for vision-language-action and diffusion model approaches.

Key Responsibilities

• Fine-tune and enhance a range of sophisticated software implementation projects.
• Architect, design, and implement test automation infrastructure.
• Build training and evaluation pipelines using Azure Machine Learning.
• Analyze and refine training datasets for robotic and AI applications.
• Develop tools that support rapid deployment of novel algorithms in simulation and on hardware.
• Integrate robotic control and perception stacks with simulation frameworks.
• Adapt server/client code to new robotic or simulation APIs during system integration.
• Collect and convert demonstration data into the correct formats for model training.
• Launch and monitor fine-tuning runs for vision-language-action and diffusion models.

Required Qualifications

• 5 to 7 years of related experience in AI engineering, machine learning, or robotics.
• Demonstrated experience integrating robotic control and perception stacks with simulation frameworks.
• Hands-on experience developing and maintaining training and evaluation pipelines.
• Experience working with robotic hardware or simulation environments in a research or production context.
• Master's degree in Computer Science, Computer Engineering, or a related technical field is required.
• Strong proficiency in Python (5+ years).
• Hands-on experience with PyTorch (2+ years).
• Experience with ROS2 (1+ year).
• Solid foundation in data structures, algorithms, and software design.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with training robotic models including vision-language-action models, diffusion models, and reinforcement learning policies.
• Experience with simulation environments or robotic hardware for system integration.
• Experience performing in-depth troubleshooting and unit testing on both new and legacy production systems.
• Strong problem diagnosis and resolution skills.

Preferred Qualifications

• PhD-level academic work or studies in a robotics lab are strongly preferred.

Technologies

• Azure Machine Learning
• Python
• PyTorch
• ROS2
• TensorFlow

Contract Details

• Location: Redmond, WA (Onsite)
• Duration: 13 months
• Pay range: $83.50 - $94.50 per hour
• Weekly schedule: 40 hours
• Job status: Non-Exempt

Benefits

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan with pre-tax and Roth post-tax contributions available
• Life Insurance, including company-paid Basic Life and AD&D, plus voluntary Life & AD&D for the employee and dependents
• Company paid short and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave including PTO, Allegis Group Paid Family Leave, and Parental Leave