Member of Technical Staff
Abundant
Member of Technical Staff
Abundant
On-demand human operators ensure AI reliability
ABOUT ABUNDANT
As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems.
Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence.
THE ROLE
As a Member of Technical Staff, you will work directly with the Head of Engineering to build, scale, and deploy projects. You'll be expected to transition seamlessly between customer-facing products and our internal infrastructure.
WHAT YOU’LL DO
In your first 30 days, you will take over key parts of the core simulation engine, adding new features or improving performance, driving key metrics such as throughput and cost. You'll be responsible for making sure our software can scale to 10B+ events and tens of thousands of monthly users (both human and virtual). You'll be responsible for establishing our engineering culture as we continue to scale our technical team.
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.
Abundant provides a human-in-the-loop platform that makes AI agents reliable in production, especially for healthcare, legal, and financial services. Its system runs AI tasks and, when an edge case arises, calls a Human Intelligence API where expert operators complete the task and hand control back; all interactions are logged to create labeled training data and improve models, with an analytics dashboard for monitoring. The key difference is a dedicated human-override layer and a focus on real-world reliability in regulated industries, backed by founders with extensive experience in planning systems, content classification, and cloud infrastructure. The goal is to increase AI accuracy and task success in production by combining automated agents with precise human supervision and data-driven model improvement.
Explore more opportunities at Abundant