Scale AI is seeking a Machine Learning Research Scientist/Engineer to focus on reasoning within large language models (LLMs). This role is pivotal in advancing AI research and its practical application, particularly in areas like browser and software engineering agents. The ideal candidate will contribute to Scale's data strategy by pinpointing effective data sources and methodologies to enhance LLM reasoning. They will collaborate with external researchers and engineering teams to integrate state-of-the-art advancements into scalable, real-world solutions.
Role Involves:
Studying data types critical for advancing LLM-based agents.
Identifying effective data sources and methodologies for improving LLM reasoning.
Contributing to impactful research on language model reasoning.
Collaborating with external researchers.
Working closely with engineering teams.
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.
A track record of published research in top ML and NLP venues.
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.
Scale AI accelerates the development of AI applications across industries. The company's products power advanced language models, generative models, and computer vision models. Scale AI serves generative AI companies, government agencies, and enterprises, assisting organizations in building and deploying AI. Committed to inclusivity and equal opportunity, Scale AI fosters professional growth, offering opportunities to contribute to cutting-edge AI projects and collaborate with experts in the field.