Machine Learning Research Scientist / Engineer, Agents

Overview

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including : generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About This Role

Ideally you'd have :

Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.

A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)

At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.

Strong written and verbal communication skills and the ability to operate cross-functionally.

Nice to have

Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch / Jax.

Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.

Familiarity with agentic reasoning methods such as STaR and PLANSEARCH

Experience working with cloud technology stacks (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Compensation & Location

Base salary range for this full-time position in San Francisco, New York, and Seattle is : $220,000 - $325,000 USD.

Details : Compensation packages for eligible roles include base salary, equity, and benefits. Equity-based compensation is subject to Board approval. You'll also receive benefits including health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for an additional commuter stipend. Location notes and exact salary ranges will be shared by your recruiter during the hiring process.

Location reference : Please refer to the job posting's subtitle for where this position will be located.

Notes on Hiring Process

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask LeetCode-style questions. Our policy includes a 90-day waiting period before reconsidering candidates for the same role.

About Scale

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to accelerate that transition across every industry, and our team is transforming how organizations build and deploy AI. Our products power world-leading LLMs, generative models, and computer vision models. We are trusted by OpenAI, Meta, Microsoft, government agencies such as the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture.

Equal Opportunity and Accommodation

We are an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or veteran status. We provide reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation in the application or recruiting process, please contact accommodations@scale.com.

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