jobapplier

Machine Learning Research Scientist (Evaluations)

Scale AI

Skills

Required

  • machine learning
  • AI
  • NeurIPS
  • ICML
  • ICLR
  • ACL
  • EMNLP
  • CVPR

Preferred

  • deep learning
  • reinforcement learning
  • model fine-tuning
  • LLM
  • evaluation-driven AI development
  • text and multimodal modalities
  • Analyze model behavior
  • post-training
  • RLHF / preference modeling / instruction tuning
  • LLM evaluation / benchmark development

Join Scale, a leading AI company, as a Machine Learning Research Scientist focused on evaluations. In this role, you will develop rigorous evaluations and diagnostic methods to identify and analyze model failure modes in both text and multimodal modalities. You will collaborate with researchers and engineers to define best practices in evaluation-driven AI development and partner with top foundation model labs to translate failure analysis into technical and strategic input on the next generation of generative AI models.

Responsibilities

  • Collaborate with researchers and engineers to define best practices in evaluation-driven AI development.
  • Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities.
  • Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents.
  • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development

Requirements

Excellent written and verbal communication skills

  • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
  • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field
  • Previous experience in a customer facing role

Preferred

  • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning

Pay

USD 180,600 - 225,750

Every job at Scale AI