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Scale AI is looking to accelerate the development of AI applications, specifically focusing on improving reasoning within large language models (LLMs) and advancing towards Artificial General Intelligence (AGI). The role aims to shape Scale's data strategy by identifying effective data sources and methodologies for enhancing LLM reasoning capabilities.

Requirements

• Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow.
• Skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
• Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
• Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
• Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
• Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
• Proficiency in cloud-based ML development, with experience in AWS or GCP environments.

Responsibilities

• Study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents.
• Identify the most effective data sources and methodologies for improving LLM reasoning.
• Contribute to impactful research on language model reasoning.
• Collaborate with external researchers.
• Work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
• Prototype and debug ML models.
• Build applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.

Other

• A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
• At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
• Strong written and verbal communication skills, along with the ability to work effectively across teams.
• The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
• Compensation packages at Scale for eligible roles include base salary, equity, and benefits.