About the role
structured by ORIABOUT ABUNDANT Abundant is an applied research lab focused on scaling reinforcement learning for safe and reliable agentic capabilities. We are an extremely talent-dense team of researchers, roboticists, founders, and operators whose work includes the Waymo Driver.
What you will do
- Co-design capabilities of the model: define areas of improvement for the model, along with the Researcher.
- Perform literature review: headroom analysis, identifying recent work in academic and industry circles.
- Run experiments and benchmarks: using our internal simulation stack and our open source tooling such as Oddish to define and hillclimb on the vertical.
- Become the voice of the model user: Talk to individual users and/or enterprises, in order to deeply understand where models and agents are underperforming, turning these insights into evaluation and training data.
- Work on data pipelines: internal tooling to support research operations.
What they are looking for
- Technically fluent: Deep understanding of evaluations, RL, and how LLMs and Agents work.
- Research-oriented — Able to read papers and keep up with SOTA literature.
- Extreme owner — You have extreme agency and a founder mentality; you are resourceful and scrappy.
- Creative problem solver — You leverage creativity and research skills to design projects from the ground up.
- Must be highly proficient with coding agents such as Codex or Claude Code.
Benefits
- Health, dental, vision
- flexible PTO
Full posting text
ABOUT ABUNDANT
Abundant is an applied research lab focused on scaling reinforcement learning for safe and reliable agentic capabilities. We are an extremely talent-dense team of researchers, roboticists, founders, and operators whose work includes the Waymo Driver.
THE ROLE
Research PM (RPM) is a role unique to Abundant. RPMs are PMs of the model, unlike traditional PMs who own an application or a feature. RPMs design and implement model capabilities, either as part of an AI lab, data lab, or other research organization. This is a founding-level role with outsized ownership.
WHAT YOU’LL DO
- Co-design capabilities of the model: define areas of improvement for the model, along with the Researcher.
- Perform literature review: headroom analysis, identifying recent work in academic and industry circles.
- Run experiments and benchmarks: using our internal simulation stack and our open source tooling such as Oddish to define and hillclimb on the vertical.
- Become the voice of the model user: Talk to individual users and/or enterprises, in order to deeply understand where models and agents are underperforming, turning these insights into evaluation and training data.
- Work on data pipelines: internal tooling to support research operations.
WHO YOU ARE
- Technically fluent: Deep understanding of evaluations, RL, and how LLMs and Agents work.
- Research-oriented — Able to read papers and keep up with SOTA literature.
- Extreme owner — You have extreme agency and a founder mentality; you are resourceful and scrappy.
- Creative problem solver — You leverage creativity and research skills to design projects from the ground up.
- Must be highly proficient with coding agents such as Codex or Claude Code.
COMPENSATION
Base Salary
$150,000 - $210,000
Cash Bonus
Sizable performance bonus tied to project and company milestones
Equity
Meaningful early-stage grant
Benefits
Health, dental, vision + flexible PTO