Build and maintain AI and machine learning systems for embodied robotics research with simulation and robotic hardware.

Fine-tune and improve sophisticated 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
Create tools that support rapid deployment of novel algorithms in simulation and on hardware
Integrate robotic control and perception stacks with simulation frameworks
Adapt server and client code for new robotic or simulation APIs during system integration
Collect and convert demonstration data into correct formats for model training
Launch and monitor fine-tuning runs for vision-language-action and diffusion models

5–7 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 (required)
PhD-level academic work or studies in a robotics lab (strongly preferred)
Python proficiency (5+ years)
PyTorch hands-on experience (2+ years)
ROS2 experience (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 new and legacy production systems
Strong problem diagnosis and resolution skills

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

Location: Redmond, WA (onsite)
Job type: Contract
Duration: 13 months
Weekly schedule: 40 hours
Status: Non-Exempt
Pay range: $83.50 - $94.50 per hour
Application deadline: Apply within 72 hours of the posting date to ensure consideration

AI Engineer

Job Description