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Research Scientist
2 months ago
We're on a mission to create reliable, interpretable, and steerable AI systems that benefit society as a whole. Our team is a collaborative group of researchers, engineers, and experts working together to build trustworthy AI systems.
Job SummaryWe're seeking a Research Engineer to help us redesign how Language Models interact with external data sources. You'll design new architectures for information organization and train language models to optimally use those architectures.
Key Responsibilities- Design and implement new information architecture strategies from scratch
- Perform fine-tuning and reinforcement learning to teach language models how to interact with new information architectures
- Build knowledge base evaluation sets to identify failure modes of language models with external data
- Extend traditional ideas like RAG into heterogeneous data types
- Significant Python programming experience
- Good machine learning research experience
- Experience developing software that utilizes Large Language Models
- Results-oriented with a bias towards flexibility and impact
- Ability to pick up slack and work outside job description
- Enjoy pair programming
- Want to partner with world-class ML researchers
- Care about societal impacts of work
- Clear written and verbal communication
- Developing scalable distributed information retrieval systems
- Conducting research to advance search quality and knowledge base systems
- Understanding Retrieval Augmented Generation (RAG) and its limitations
- Collaborating with product teams to prototype and deliver innovative solutions
- Competitive salary range: $280,000—$485,000 USD
- Equity compensation
- Comprehensive health, dental, and vision insurance
- 22 weeks of paid parental leave
- Unlimited PTO
- Stipends for education, home office improvements, commuting, and wellness
- Daily lunches and snacks in our office
- Relocation support
We believe in big science and collaborative research. Our team works on large-scale research efforts, and we value impact over smaller puzzles. We're an extremely collaborative group, and we host frequent research discussions to ensure we're pursuing the highest-impact work.