Machine Learning Research Scientist, Reasoning
$252k - $315k • San Francisco, CA; Seattle, WA; New York, NY
Posted 2mo ago
Job Location
San Francisco, CA; Seattle, WA; New York, NY
Tech Stack
Remote Work Policy
On-site
Categories
AI Research Engineer
About the job
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
Responsibilities
- Study data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents.
- Identify 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.
Requirements
- Practical experience working with LLMs.
- Proficiency in frameworks like PyTorch, JAX, or TensorFlow.
- Skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
- Track record of published research in top ML and NLP venues.
- At least three years of experience solving complex ML challenges in a research or product development setting, particularly in areas related to LLM capabilities and reasoning.
- Strong written and verbal communication skills.
- Ability to work effectively across teams.
Benefits
- Base salary
- Equity
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend