Abundant

Member of Technical Staff, Research (Intern)

San Francisco. Posted 2 months ago

The role

You will work with the founding team to architect model reasoning and intelligence. This involves driving foundational research, designing high-impact datasets, and managing research projects to scale data for AGI/ASI.

What you will do

  • Architect and execute a core research agenda to advance model reasoning and intelligence.
  • Own the full research-to-production lifecycle and ensure rapid deployment in live systems.
  • Partner with AI research teams to design and iterate on high-impact datasets and benchmarking efforts.
  • Focus on critical alignment, safety, and defining optimal reward signals.
  • Identify, scope, and manage long-running research projects.
  • Collaborate with engineering teams on data pipelines, internal tooling, and deep learning algorithm implementations.

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).

Nice to have

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

Benefits

  • Health, dental, vision
  • flexible PTO

Before you apply

  • In the application form, please specify what term you would like to begin your internship (winter/summer/fall)

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.