Write product or system development code.

Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Contribute to the development of Large Language Model (LLM) based tools for generating simulated users and user conversations.

Develop the tools to advance the quality, complexity, and realism of synthetic context for use in health and home feature evaluations.

Help define metrics and methods for assessing the quality of synthetic data.

Bachelor’s degree or equivalent practical experience.

2 years of experience with software development in Python programming languages, or 1 year of experience with an advanced degree.

1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

1 year of experience with one or more of the following: natural language processing, generative AI, ML infrastructure, or specialization in another ML field.