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15 часов Π½Π°Π·Π°Π΄

Applied Scientist (AI/LLM)

167Β 100 - 226Β 100$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
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TL;DR

Applied Scientist (AI/LLM): Building and optimizing Reinforcement Learning (RL) post-training for frontier Large Language Models (LLMs) to revolutionize customer service, with an accent on improving capabilities for instruction following, reasoning over long context, and tool use. Focus on developing innovative solutions to hard problems, publishing findings at peer-reviewed conferences, and advancing the science that powers new cloud computing businesses.

Location: USA, WA, Seattle

Salary: $167,100.00 – $226,100.00 USD annually

Company

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, trusted by successful startups and Global 500 companies.

What you will do

  • Work on Reinforcement Learning (RL) post-training of frontier Large Language Models (LLMs).
  • Improve LLM capabilities particularly for instruction following, reasoning over long context, and tool use.
  • Partner with technology and business teams to solve real-world problems.
  • Develop innovative solutions and publish findings at peer-reviewed conferences and journals.
  • Develop the science that powers countless new businesses in cloud computing.

Requirements

  • PhD, or Master's degree and 6+ years of applied research experience.
  • Experience programming in Java, C++, or Python.
  • Experience with neural deep learning methods and machine learning.
  • Experience in Postgres.
  • Strong analytical skills, attention to detail, and effective communication abilities.
  • Experience in Linux/RHEL.

Nice to have

  • Experience with popular deep learning frameworks such as MxNet and TensorFlow.
  • First authored publications on LLM post-training in top-tier AI conferences (e.g., Neurips, ICML, ACL).

Culture & Benefits

  • Inclusive team culture with employee-led affinity groups and ongoing learning experiences.
  • Emphasis on work-life harmony and flexibility in working culture.
  • Opportunities for knowledge-sharing, mentorship, and career advancement.
  • Comprehensive benefits package including health insurance (medical, dental, vision), 401(k) matching, paid time off, and parental leave.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’

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