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Machine Learning Research Scientist / Engineer - Reasoning

Scale AISan Francisco, CA; Seattle, WA; New York, NY
On-site Full-time $252K/yr - $315K/yr

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Experience Level

Experience

Qualifications

Required Qualifications: Hands-on experience with LLMs, proficient in frameworks such as PyTorch, JAX, or TensorFlow, with a knack for quickly understanding research literature and developing new ideas into functional prototypes. A proven record of published research in prominent ML and NLP conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). Minimum of three years of experience addressing complex ML challenges, either in research or product development, with a focus on LLM capabilities and reasoning. Exceptional written and verbal communication skills, coupled with the ability to collaborate effectively across teams. Preferred Qualifications: Practical experience in fine-tuning open-source LLMs or leading custom LLM fine-tuning initiatives using PyTorch/JAX. Experience in developing applications and evaluations related to LLM-based agents.

About the job

About Scale AI

At Scale AI, we are committed to propelling the advancement of AI technologies. For over eight years, we have been a pioneer in the AI data sector, supporting groundbreaking innovations in areas such as generative AI, defense solutions, and autonomous driving. Following our recent Series F funding round, we are enhancing access to premium data to accelerate the journey towards Artificial General Intelligence (AGI). Building on our legacy of model evaluation for both enterprise and governmental clients, we are expanding our capabilities to establish new benchmarks for evaluations in both public and private domains.

About This Role

This position is at the leading edge of AI research and practical implementation, concentrating on reasoning within large language models (LLMs). The successful candidate will investigate critical data types vital for evolving LLM-based agents, including browser and software engineering agents. You will significantly influence Scale’s data strategy by pinpointing optimal data sources and methodologies to enhance LLM reasoning. To excel in this role, you will require a profound understanding of LLMs, planning algorithms, and fresh approaches to agentic reasoning, alongside inventive solutions to challenges in data generation, model interaction, and evaluation. Your contributions will lead to transformative research on language model reasoning, facilitate collaboration with external researchers, and engage closely with engineering teams to translate cutting-edge advancements into scalable, real-world applications.

About Scale AI

Scale AI is at the forefront of AI innovation, dedicated to enhancing AI applications through superior data solutions. Our pioneering role in the AI data landscape has positioned us as leaders in groundbreaking projects across various sectors, including generative AI and autonomous systems.

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