обновлено 2 месяца назад
Senior Applied Scientist (LLM Code Agents)
192 200 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied Scientist (LLM Code Agents): Building generative AI development tools and code intelligence systems for Kiro IDE and Amazon Q Developer with an accent on reinforcement learning, LLM post-training, and production-scale machine learning. Focus on inventing state-of-the-art solutions, deploying research breakthroughs for millions of developers, and publishing results at leading ML and NLP conferences.
Location: Santa Clara, California, USA. Employees may work in the office every day or use a flexible hybrid model near a U.S. office.
Salary: $192,200–$260,000 USD annually, plus sign-on payments and restricted stock units.
Company
Web Services develops cloud platforms and generative AI products, including Kiro IDE and Q Developer.
What you will do
- Develop reinforcement learning and post-training methods for large language models specialized in code intelligence.
- Invent and implement machine learning solutions operating at scale.
- Deploy generative AI products that improve the workflows of millions of developers.
- Advance intelligent code assistance through AI and machine learning research.
- Publish and present research at premier ML and NLP conferences.
- Work directly with customers to transition research breakthroughs into production systems.
Requirements
- 3+ years of experience building machine learning models for business applications.
- PhD, or a master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
- Ability to work in the USA, with the role based in Santa Clara and requiring office or hybrid availability near a U.S. office.
Nice to have
- First-author publications at Tier-1 ML conferences.
Culture & Benefits
- Health, dental, vision, prescription, life, and AD&D insurance options.
- 401(k) matching and flexible spending accounts.
- Paid time off and parental leave.
- Adoption and surrogacy reimbursement, employee assistance, and mental health support.
- Mentorship, knowledge-sharing, learning experiences, and career development resources.
- Flexible work-life harmony with options for office-based or hybrid work.
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