AI Engineer

Robotics Debugging Pipelines Algorithms TensorFlow Unit Testing Test Automation Data Structures Computer Science Machine Learning Technical Issues Training Datasets Computer Engineering Open-Source Software Artificial Intelligence Authorization (Computing) Machine Learning Frameworks Employee Assistance Programs Troubleshooting (Problem Solving) Product Software Implementation Method, Are you passionate about pushing the boundaries of artificial intelligence and robotics? This is a unique opportunity to join a cutting-edge research team dedicated to developing robotic foundation models that bridge the gap between advanced AI and real-world robotic applications. In this role, you will play a critical part in building, maintaining, and deploying state-of-the-art machine learning systems that power next-generation robotic platforms. You will work at the intersection of simulation, hardware integration, and model development, contributing to open-source software and supporting customer deployment efforts in a fast-paced, research-driven environment., * Fine-tune and improve a variety of sophisticated software implementation projects

• Architect, design, and implement test automation infrastructure
• Develop training and evaluation pipelines using cloud-based machine learning platforms
• Analyze and refine training datasets for robotic and AI applications
• Develop tools to enable fast deployment of novel algorithms in simulation and on hardware
• Integrate robotic control and perception stacks with simulation frameworks
• Integrate simulation environments and benchmark robotics models
• Resolve technical issues including debugging, patching, and supporting customer tickets, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Related Jobs AI Engineer Microsoft Redmond, WA*On-Site Research Robotics Debugging Pipelines Algorithms TensorFlow Unit Testing Test Automation Data Structures Computer Science Machine Learning Technical Issues Training Datasets Computer Engineering Open-Source Software Artificial Intelligence Authorization (Computing) Machine Learning Frameworks Employee Assistance Programs Troubleshooting (Problem Solving) Product Software Implementation Method

• 2 to 4 years of relevant professional experience required
• Undergraduate or academic research experience in robotics labs, particularly working with faculty on robotics-related projects, is strongly preferred
• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field required
• Strong foundation in computer science, including data structures, algorithms, and software design
• Experience with simulation environments or robotic hardware
• Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems
• Experience in programming and problem diagnosis and resolution
• Background in machine learning frameworks such as TensorFlow or PyTorch
• Minimum 2 years of experience with Python
• Minimum 2 years of experience with PyTorch
• Minimum 2 years of experience with ROS2

This role is eligible for the following benefits:

• 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 as well as 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(PTO, Allegis Group Paid Family Leave, Parental Leave

Benefits are subject to change and may be subject to specific elections, plan, or program terms.