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Hire.Monster

Research Engineer - Safety System and Foundations - Full-time

Company
Menlo Park, California, US
ОфисРазработкаСША

Обязанности

  • Design, implement, and evaluate novel, systemic, and foundational safety techniques for large language models and multimodal AI systems
  • Create, curate, and analyze high-quality datasets for safety system and foundations
  • Fine-tune and evaluate LLMs to adhere to Company’s safety policies and evolving global standards
  • Build scalable infrastructure and tools for safety evaluation, monitoring, and rapid mitigation of emerging risks
  • Work closely with researchers, engineers, and cross-functional partners to integrate safety solutions into Company’s products and services
  • Lead complex technical projects end-to-end

Требования

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science, Machine Learning, or a relevant technical field
  • 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training
  • Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Company participates in the E-Verify program in certain locations, as required by law

Навыки

  • Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)

Условия

*Public Compensation:* $88.46/hour to $257,000/year + bonus + equity + benefits *Equal Opportunity:* *Public Compensation:* $88.46/hour to $257,000/year + bonus + equity + benefits

Опубликовано: 14.01.2026