Назад
11 часов назад

Machine Learning Research Scientist, Evaluations (AI)

Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Machine Learning Research Scientist, Evaluations (AI) (LLM evaluation and post-training): Building rigorous benchmarks and diagnostic methods for frontier language and multimodal models with an accent on failure-mode analysis, evaluation design, and post-training interventions. Focus on analyzing reasoning, robustness, and alignment failures, connecting them to training data and interventions, and publishing research findings.

Company

Scale AI develops high-quality data and full-stack technologies that support leading AI models and enterprise and government AI applications.

What you will do

  • Analyze frontier LLM and agent behavior to identify, characterize, and diagnose capability gaps, reasoning errors, robustness issues, and alignment failures.
  • Design and build benchmarks and evaluation methods for text and multimodal models.
  • Apply SFT, RLHF, preference modeling, reward modeling, and instruction-tuning expertise to connect model failures with data and training interventions.
  • Collaborate with researchers, engineers, and foundation model labs to establish evaluation-driven AI development practices.
  • Translate failure analysis into technical and strategic input for future generative AI models.
  • Publish research findings at major AI conferences and journals.

Requirements

  • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
  • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
  • Experience with LLM evaluation, benchmark development, and post-training techniques such as RLHF, preference modeling, or instruction tuning.
  • Excellent written and verbal communication skills.
  • Published machine learning research in major conferences or journals.
  • Previous experience in a customer-facing role.

Culture & Benefits

  • Base salary, equity, and benefits may be included for eligible roles.
  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits, a learning and development stipend, and generous paid time off.
  • Additional benefits may include a commuter stipend.
  • Inclusive equal opportunity workplace with reasonable accommodations available during the application and recruiting process.

Hiring process

  • Compensation is determined during the interview process based on work location, skills, experience, qualifications, interview performance, and education or training.
  • Candidates must wait 90 days before being reconsidered for the same role.

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