Research Fellow

The role

You will architect and execute a research agenda to advance model reasoning and intelligence. You will work with the founding team to design datasets, benchmarking efforts, and system infrastructure.

What you will do

• Architect and execute a core research agenda to advance model reasoning and intelligence at scale.
• Own the full research-to-production lifecycle and ensure rapid deployment in live systems.
• Partner with AI research teams to design, engineer, and iterate on high-impact datasets and large-scale benchmarking efforts.
• Identify, scope, and manage long-running research projects.
• Collaborate with engineering teams on data pipelines, internal tooling, and high-performance deep learning algorithm implementations.
• Submit research to a major conference for review.

Required qualifications

• Research expertise in a related field (e.g., CS, ML, NLP).
• Proven track record in the productization of research, encompassing high-stakes evaluation, large-scale benchmarking, and product feature development.
• Experience shipping research directly to production and live systems, specifically focusing on advanced post-training, distillation, and high-stakes evaluation methodologies.
• Experience with large-scale agent systems: orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure.
• Experience advising on or shaping governmental policy related to AI safety and governance (e.g., House of Lords or Online Safety Bill initiatives).
• Ability to commit at least 20 hours a week.

Nice to have

• Work published at a major conference (NeurIPS, ICML, ICLR).

Benefits

• Paired with a mentor
• Weekly meetups exclusively for Abundant Fellows

About the company

Abundant is building the NVIDIA of training data to address the need for scaling data for AGI, ASI, and physical intelligence. The founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Google, Mercor and AWS.