N
Nori Verified
Climate Tech
LLM Researcher
San Francisco, CAOnsiteFull Time$150,000–$250,000 /yrPosted 19 days agoVisa sponsorship availableHidden Gem · YC Startup
Required skills
- LLM
- fine-tuning
- post-training
- Python
- PyTorch
- JAX
- distributed-training
- model behavior
- open-ended generation
- preference learning
Nice to have
- creative-writing evaluation
- long-context narrative consistency
- publications
Role summary
Nori Robotics is seeking an LLM Researcher to enhance model behavior, focusing on creative writing. Responsibilities include fine-tuning and post-training language models on creative and behavioral preference data, developing datasets, building benchmarks, and conducting evaluations. The role involves integrating improvements into consumer applications and robot interactions, working closely with VLM researchers and harness engineers. Requires hands-on LLM fine-tuning, Python, PyTorch/JAX, distributed training, and research experience in model behavior, open-ended generation, or preference learning with rigorous experimental design and human evaluation.
Nori Robotics (YC S26) builds affordable humanoid robots. Our work connects some of the world's most novel multimodal, creative, and behavioral datasets to robots and consumer applications used by real customers. We're looking for hungry, talented, curious people to join our team.
Scope: Research and improve model behavior, with creative writing at the center. Fine-tune and post-train language models on text-based creative and behavioral preference data, then carry those improvements into consumer applications and robot interactions.
What you will work on
• Fine-tune and post-train models for voice, character, narrative coherence, conversation, and social behavior.
• Develop text-based creative and behavioral preference datasets, with clear human review and comparison criteria.
• Build creative-writing benchmarks and run preference studies, ablations, and held-out evaluations to measure behavior.
• Work with the VLM researcher and harness engineer to deploy improvements and study model behavior in products with real users.
Requirements
• Hands-on LLM fine-tuning and post-training, with strong Python and PyTorch or JAX and practical distributed-training experience.
• Research in model behavior, open-ended generation, or preference learning, with rigorous human evaluation and experimental design.
• Nice to have: creative-writing evaluation, long-context narrative consistency, preference learning, or relevant publications.
San Francisco, CA. Full time. In person.
Compensation. Base pay: $150,000-$250,000 per year. Base pay varies with job-related knowledge, skills, and experience.
Scope: Research and improve model behavior, with creative writing at the center. Fine-tune and post-train language models on text-based creative and behavioral preference data, then carry those improvements into consumer applications and robot interactions.
What you will work on
• Fine-tune and post-train models for voice, character, narrative coherence, conversation, and social behavior.
• Develop text-based creative and behavioral preference datasets, with clear human review and comparison criteria.
• Build creative-writing benchmarks and run preference studies, ablations, and held-out evaluations to measure behavior.
• Work with the VLM researcher and harness engineer to deploy improvements and study model behavior in products with real users.
Requirements
• Hands-on LLM fine-tuning and post-training, with strong Python and PyTorch or JAX and practical distributed-training experience.
• Research in model behavior, open-ended generation, or preference learning, with rigorous human evaluation and experimental design.
• Nice to have: creative-writing evaluation, long-context narrative consistency, preference learning, or relevant publications.
San Francisco, CA. Full time. In person.
Compensation. Base pay: $150,000-$250,000 per year. Base pay varies with job-related knowledge, skills, and experience.
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