Research Fellow – AI Data & Model Reasoning
abundant · San Francisco
Job description
About the role
Abundant is building the "NVIDIA of training data" and seeks a Research Fellow to shape the next generation of model reasoning and intelligence. You will work directly with the founding team and top AI labs to turn cutting‑edge research into production‑ready systems.
Key responsibilities
- Architect and execute a core research agenda that discovers simple, generalizable ideas for scaling model reasoning.
- Own the full research‑to‑production lifecycle, ensuring rapid deployment of innovations in live systems.
- Partner with leading AI research teams to design high‑impact datasets and large‑scale benchmarking efforts.
- Focus on model alignment, safety, and defining optimal reward signals.
- Identify and tackle autonomous problem‑selection challenges at the frontier of AI.
Required profile
- Active researcher investigating frontier AI topics and eager to apply findings in an industrial setting.
- Proven ability to collaborate with world‑class peers and translate research into scalable solutions.
- Strong publication record or equivalent experience in advanced machine‑learning research.
Required skills
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Simulation
- Synthetic Data
What we offer
- Opportunity to work at the intersection of research and large‑scale production.
- Collaboration with top AI labs, frontier startups, and Fortune‑500 enterprises.
- Access to cutting‑edge infrastructure and data pipelines.
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Published 1 day ago
Expires 1 month from now
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abundant
San Francisco