AI and Insights Model Developer

Qualifications

• Experience with Machine Learning in school or other experiences

• Basic understanding of Large Language Models (LLMs) and prompt engineering

Responsibilities

• You'll collaborate with our talented team to develop innovative AI and Insights models and products, leveraging your expertise in Machine Learning and LLMs

• Design, develop, and test backend components for our Generative AI solutions using Python APIs

• Collaborate with the team to integrate these components with front-end interfaces

• Research and experiment with different prompt engineering techniques to optimize LLM performance

Full Description

Company Overview

Dexcom Corporation is a global leader in continuous glucose monitoring (CGM) technology.

Founded in the pursuit of improving human health, we've pioneered an industry and inspired a community of innovators.

With a rich history of innovation and a commitment to excellence, we're poised to revolutionize the future of healthcare.

At Dexcom, we believe that technology should empowerindividuals to take control of their health.

Our products and services are designed to provide personalized insights and actionable data, driving better health outcomes.

As a AI and Insights Model Developer, you'll play a critical role in shaping the future of healthcare technology.

You'll collaborate with our talented team to develop innovative AI and Insights models and products, leveraging your expertise in Machine Learning and LLMs.

Your contributions will be instrumental in creating deep learning AI models and training methodologies that transform the way we approach healthcare.

Join us as we redefine the boundaries of what's possible in healthcare technology.

Apply now to become part of our innovative team!

Job Description

• Design, develop, and test backend components for our Generative AI solutions using Python APIs.

• Collaborate with the team to integrate these components with front-end interfaces.

• Research and experiment with different prompt engineering techniques to optimize LLM performance.

Required Skills and Qualifications:

• Experience with Machine Learning in school or other experiences.

• Basic understanding of Large Language Models (LLMs) and prompt engineering.