Embodied AI & Robotics ML Engineer

Blueprint-Technologies

Redmond (WA)

On-site

USD 124,000 - 138,000

Full time

8 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
FSA
Paid time off
Parental leave
Professional growth opportunities

Job summary

Blueprint Technologies, LLC is seeking a seasoned professional to advance embodied AI and robotics research. You will develop and support ML and robotic systems across simulation and physical hardware, build training pipelines, and refine datasets.

You’ll contribute to an agile research team delivering new capabilities and research outcomes. The role emphasizes software engineering, test automation, and scalable ML workflows, with collaboration across disciplines and strong focus on

Qualifications

  • Master's degree in CS, CE, robotics, or related field.
  • 5–7 years of professional experience.
  • Experience with robotic hardware and/or simulation environments.
  • Experience with ML frameworks such as PyTorch or TensorFlow.
  • Ability to develop, debug, and maintain complex software systems.
  • Experience with AI development pipelines.

Responsibilities

  • Fine-tune, enhance, and maintain software implementations for robotic AI and ML research.
  • Architect, design, and implement test automation infrastructure for robotics and AI systems.
  • Develop training and evaluation pipelines using Azure Machine Learning.
  • Analyze, curate, refine, and transform training datasets for robotic and AI applications.
  • Develop tools and infrastructure for deployment and evaluation of algorithms in simulation and hardware.
  • Integrate robotic control and perception stacks with simulation frameworks and platforms.
  • Collaborate in an agile environment to prioritize work and deliver measurable progress toward research objectives.

Skills

CS fundamentals
Programming
Troubleshooting
ML frameworks

Education

Master's degree in CS/CE/Robotics

Tools

PyTorch
TensorFlow

Job description

Blueprint Technologies, LLC is seeking a seasoned professional to advance embodied AI and robotics research. You will develop and support ML and robotic systems across simulation and physical hardware, build training pipelines, and refine datasets.

You’ll contribute to an agile research team delivering new capabilities and research outcomes. The role emphasizes software engineering, test automation, and scalable ML workflows, with collaboration across disciplines and strong focus on

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