Machine Learning Research Scientist / Engineer, Reasoning
Research scientist/engineer role focused on LLM reasoning, requiring experience with LLMs, research publications, and ML challenges.
About Scale
At Scale AI, our mission is to accelerate the development of AI applications.
About This Role
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs).
Ideally, you’d have:
Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow.
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.
Nice to have:
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.
Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. 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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$220,000—$325,000 USD