Member of Technical Staff, Research (Intern)

Abundant · Engineering

Where: San Francisco
Posted: Sep 9

As a Member of Technical Staff, you will work directly with Abundant's founding team to architect the next generation of model reasoning and intelligence. You will lead at the absolute frontier where research and execution collide, co-designing strategies alongside top-tier researchers from AI labs to push SOTA boundaries. This is a role for a extremely strong engineers who are already contributing frontier research.

What you'd do

Drive Foundational Research & Execution: Architect and execute a core research agenda to discover simple, generalizable ideas that advance model reasoning and intelligence at scale.
This includes owning the full research-to-production lifecycle and ensuring rapid deployment of your work in live systems.
Model Alignment & Data Strategy: Partner with the world's most advanced AI research teams to design, engineer, and iterate on high-impact datasets and large-scale benchmarking efforts that shape how frontier models behave, specifically focusing on critical alignment, safety, and defining optimal reward signals.
Autonomous Problem Selection: Autonomously identify, scope, and manage long-running research projects, choosing the most impactful problems that are critical to scaling data for AGI/ASI.
System Infrastructure: Collaborate closely with engineering teams on data pipelines, internal tooling, and high-performance deep learning algorithm implementations.

What they want

Exceptional Research Depth & Strategic Vision: Research expertise in a related field (e.g., CS, ML, NLP) ideally with that work published at a major conference (NeurIPS, ICML, ICLR).
You must possess the velocity to master complex fields and a proven track record in the productization of research, encompassing high-stakes evaluation, large-scale benchmarking, and product feature development.
Proven experience shipping research directly to production and live systems, specifically focusing on advanced post-training, distillation, and high-stakes evaluation methodologies.
Large-scale agent systems: orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure.
Strategic & Ethical Leadership: You possess a thoughtful, strategic perspective on the societal and safety impacts of deploying general-purpose AI systems.
Experience advising on or shaping governmental policy related to AI safety and governance (e.g., House of Lords or Online Safety Bill initiatives) is required.

About Abundant · Engineering

AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience. Our founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Goog…