Member of Technical Staff, Research (Intern)
$120k - $120k • Remote • San Francisco • FullTime
Posted 1mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Abundant is building the NVIDIA of training data, recognizing the critical need for scaling data as AI models advance beyond supervised learning to reinforcement learning and learning from experience. The founding team brings extensive experience from leading AI organizations, with a proven track record in deploying deep learning models at scale, training state-of-the-art models, and managing large data pipelines. As a Member of Technical Staff, you will collaborate directly with the founding team to architect the future of model reasoning and intelligence, working at the intersection of research and execution to push the boundaries of AI capabilities.
Responsibilities
- Architect and execute a core research agenda to advance model reasoning and intelligence at scale, managing the full research-to-production lifecycle.
- Design, engineer, and iterate on high-impact datasets and large-scale benchmarking efforts in partnership with advanced AI research teams, focusing on model alignment and safety.
- Autonomously identify, scope, and manage long-running research projects critical to scaling data for AGI/ASI.
- Collaborate with engineering teams on data pipelines, internal tooling, and high-performance deep learning algorithm implementations.
Requirements
- Exceptional research expertise in a related field (e.g., CS, ML, NLP), ideally with publications at major conferences (NeurIPS, ICML, ICLR).
- Proven ability to master complex fields and productize research, including high-stakes evaluation, large-scale benchmarking, and product feature development.
- Demonstrated experience shipping research directly to production and live systems, focusing on advanced post-training, distillation, and high-stakes evaluation methodologies.
- Experience with large-scale agent systems, including orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure.
- Thoughtful, strategic perspective on the societal and safety impacts of general-purpose AI systems.
- Experience advising on or shaping governmental policy related to AI safety and governance.
Benefits
- Health, dental, vision
- Flexible PTO