Machine Learning Research Scientist / Engineer, Reasoning

Scale AI

San Francisco, CA, USA
Base: $252,000 - $315,000 usd; equity: subject to ...
On-site
Machine learning
Large language models (llms)
Pytorch, jax, or tensorflow
At Scale AI, our mission is to accelerate the development of AI applications, fueling advancements in generative AI, defense applications, and autonomous vehicles

Job Summary

  • At Scale AI, our mission is to accelerate the development of AI applications, fueling advancements in generative AI, defense applications, and autonomous vehicles.
  • This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs).
  • Compensation packages at Scale for eligible roles include base salary, equity, and benefits, with a base salary range of $252,000 - $315,000 USD for the specified locations.

Matching Summary

At Scale AI, our mission is to accelerate the development of AI applications, fueling advancements in generative AI, defense applications, and autonomous vehicles.

Salary

Base: $252,000 - $315,000 USD; Equity: Subject to Board of Director approval; Benefits: Comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, generous PTO, commuter stipend

Skills & Requirements

Must-have

  • Machine Learning
  • Large Language Models (LLMs)
  • PyTorch, JAX, or TensorFlow
  • rapidly interpreting research literature
  • turning new ideas into working prototypes
  • impactful research on language model reasoning

Nice-to-have

  • fine-tuning open-source LLMs
  • LLM-based agents
  • agent frameworks
  • advanced agentic reasoning techniques
  • cloud-based ML development

Key Requirements

  • 3+ years solving complex ML challenges
  • track record of published research in top ML and NLP venues
  • strong written and verbal communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter