Machine Learning Research Scientist / Engineer, Reasoning

Machine Learning Research Scientist / Engineer, Reasoning

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high‑quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.

About This Role

We’re looking for a researcher / engineer who can turn research ideas into working prototypes and solve complex ML challenges in LLM capabilities and reasoning.

• Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow.
• Ability to rapidly interpret research literature and turn ideas into prototypes.
• Track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM).
• At least three years of experience solving complex ML challenges in a research or product environment, especially in LLM capabilities and reasoning.
• Strong written and verbal communication skills, and the ability to work effectively across teams.

Nice to Have

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. We do not conduct LeetCode-style problem‑solving assessments.

Compensation : Base salary, equity, and benefits. Base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is $220,000 – $325,000 USD.

We are an inclusive and equal‑opportunity workplace 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 are committed to providing reasonable accommodations to applicants with disabilities.

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