Research Scientist

techire ai; San Francisco (CA); Hybrid; USD 200,000 - 250,000; Full time

Job summary

Join a forward-thinking company at the forefront of AI supervision, where you'll develop groundbreaking agentic AI systems. This Research Scientist role offers a unique opportunity to tackle challenges in AI evaluation and supervision, working alongside top AI research labs. With a focus on both research and implementation, you will fine-tune LLMs and push the boundaries of traditional approaches. Enjoy competitive compensation, stock options, and unlimited PTO while making a significant impact in the AI landscape. Relocation assistance is available, and remote work is an option for industry-leading researchers.

Benefits

Competitive compensation

Significant stock options

Full benefits

401k

Unlimited PTO

Relocation assistance

Qualifications

• Strong experience in applied AI NLP research and publications at leading AI conferences.
• Deep understanding of transformer architectures and experience fine-tuning LLMs.

Responsibilities

• Conduct SOTA research and develop systems for autonomous AI supervision.
• Design experiments that advance automated AI oversight and publish findings.

Skills

Applied AI NLP research

Fine-tuning LLMs

Transformer architectures

Evaluation metrics

Red teaming

Big Tech experience

Job description

Pioneer groundbreaking research in AI agentic supervision

Want to develop the world's first agentic AI systems that can autonomously supervise and evaluate other AI? This Research Scientist role offers the chance to tackle fundamental challenges in AI supervision, red teaming, and automated evaluation at an unprecedented scale.

You'll join a company pioneering intelligent systems that evaluate advanced AI applications. Their technology, trusted by OpenAI, HP, and Fortune 100 companies, represents the cutting edge of scalable AI oversight. Despite being well-funded with $20M in backing, they're already generating significant ARR - proving real market demand for their solutions. Their evaluators outperform AI industry leaders internal solution by 18% in hallucination detection, and they've developed industry benchmarks used across multiple sectors.

The role focuses on research (50%) developing state-of-the-art systems for autonomous AI supervision, pushing beyond traditional approaches to create truly agentic evaluation frameworks. You'll conduct SOTA research, fine-tune LLMs, implement novel algorithms, conduct groundbreaking research on red teaming, and design experiments that advance the field of automated AI oversight. Here, you'll publish with the team in conjuction with top AI research labs and academic organisations, the role is 50% research and 50% implementation.

The ideal candidate has :

• Strong experience in Applied AI NLP research
• Publications at leading AI conferences (NeurIPS, ICML, EMNLP, ACL, ICLR)
• Experience fine-tuning LLMs (must-have)
• Deep understanding of transformer architectures and evaluation metrics
• Big Tech experience (highly desirable)
• Experience in evals, LLM as judges, or red teaming

The company works with both startups and Fortune 100 enterprises. Their team has published at top ML conferences and built AI products at leading tech companies.

This role offers competitive compensation ($200k-$250k base - negotiable), significant stock options, full benefits, 401k, and unlimited PTO. Location preference for San Francisco Bay Area. Relocation assistance available. Remote considered for industry-leading researchers in evals.

Interested in pioneering the future of autonomous AI supervision?

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Research Scientist • San Francisco, CA, United States