Embedded Data Scientist

Job Description

Job Description

Embedded Data Scientist

Full-time

Morrisville, NC, US

Exclusive confidential search — details shared with qualified applicants.

Become a Key Player as an Embedded Data Scientist

You will develop and package AI models for execution on embedded microcontrollers and microprocessors used in handheld spectroscopic instruments. You will work closely with researchers and engineering teams to compress, characterize, and deploy models that enable real-world scientific and product outcomes. Onsite (5x a week) in Morrisville, NC.

Here's How You'll Make an Impact on the Team

• Maintain and extend Python processes for generating and tuning training data from libraries of recorded instrument measurements
• Train, characterize, and analyze model predictive performance against ground truth
• Explore and implement model miniaturization strategies for embedded microcontrollers, balancing accuracy, precision, storage, and runtime
• Optimize API utilization and identify configuration levers to support different model goals across hardware deployments
• Assist with collection of instrument data for ML development and product characterization
• Contribute to other company development tasks as needed
• Maintain clear written and oral communication with stakeholders

Here's What You'll Need to Be Successful in This Role

• At least 2 years of experience with machine-learning frameworks such as TensorFlow and Keras
• At least 2 years of experience in Python
• At least 1 year of experience in C, Rust, or other embedded languages
• At least 1 year of experience with Git or other revision-control systems
• Bachelor's degree in Mathematics, Data Science, Computer Science, Computer Engineering, or a related discipline
• Willingness and interest in learning specification, design, and manufacture of optical systems

Here's What Else Might Help You Out

• Experience with LiteRT and STM32N6

Pay Range

$130,000 - $150,000/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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