AI Engineer – Automation, Robotics
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Job Description
AI Engineer designing and developing machine learning models for robotics at Blueprint Technologies. Collaborating with teams to develop scalable, deployable systems for AI and robotics applications.
Responsibilities:
- Design, develop, and maintain machine learning models for robotics and embodied AI applications
- Fine-tune and improve complex software implementations for robotic systems
- Build and maintain training and evaluation pipelines using tools such as Azure Machine Learning
- Analyze, curate, and refine datasets for robotic and AI model performance
- Develop tools and frameworks for rapid deployment of algorithms in simulation and on robotic hardware
- Integrate robotic control and perception systems with simulation environments
- Architect and implement test automation infrastructure for robotics software
- Troubleshoot, debug, and resolve issues across production and research systems
- Support deployment efforts and assist with customer-related technical issues
- Contribute to open-source robotics software and research initiatives
- Collaborate with cross-functional teams to drive research impact and system performance
- Document technical designs, workflows, and system improvements
Requirements:
- Bachelor’s degree in Computer Science, Computer Engineering, Robotics, or a related technical field
- 2–4 years of experience in software engineering, machine learning, or robotics
- Minimum 2+ years of experience with Python
- Minimum 2+ years of experience with PyTorch (or similar ML frameworks)
- Minimum 2+ years of experience with ROS2 (Robot Operating System)
- Strong foundation in computer science fundamentals, including data structures, algorithms, and software design
- Experience with simulation environments or robotic hardware systems
- Experience with debugging, unit testing, and maintaining both new and legacy systems
- Proficiency in problem diagnosis and resolution in complex systems
- Experience building or working with ML training pipelines and evaluation frameworks
Benefits:
- Medical, dental, and vision coverage
- Flexible Spending Account
- 401k program
- Competitive PTO offerings
- Parental Leave
- Opportunities for professional growth and development
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