Description:

The role involves defining and evolving Gather’s AI experimentation strategy.
The candidate will design and implement novel LLM fine-tuning approaches on proprietary data.
Responsibilities include debugging model behavior and improving model performance in production.
The position requires collaboration with cross-functional teams to turn research into tools.
The candidate will mentor engineers on ML best practices.
Sharing learnings through demos, documentation, or external content is also a key responsibility.

Requirements:

Candidates must have experience in defining AI experimentation strategies.
Proficiency in designing and implementing LLM fine-tuning approaches is required.
The ability to debug model behavior and enhance model performance in production is essential.
Experience in collaborating with cross-functional teams to develop tools from research is necessary.
Candidates should have a background in mentoring engineers on ML best practices.
Strong communication skills for sharing learnings through various formats are required.

This is a founding ML role in a fast-moving AI innovation lab.
Employees will have direct access to unique productivity data across tools.
The position offers the opportunity to work with leadership and influence product direction.
The team is LLM-focused and is engaged in solving cutting-edge problems.
The role is fully remote and backed by top-tier investors.