Senior Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Applied Scientist (AI): Developing next-generation generative AI technologies and LLM-based code agents for tools like Kiro IDE and Q Developer with an accent on reinforcement learning and post-training methodologies. Focus on implementing state-of-the-art ML solutions at scale and transitioning research breakthroughs into production systems.
Location: Hybrid; must be located near one of the U.S. offices
Salary: $192,200 - $260,000 USD annually
Company
Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and AI-driven development tools.
What you will do
- Develop reinforcement learning and post-training methodologies for LLMs specialized in code intelligence.
- Invent and implement state-of-the-art ML solutions that operate at unprecedented scale.
- Deploy generative AI products that directly impact the daily workflows of millions of developers worldwide.
- Publish and present pioneering research at premier ML and NLP conferences such as NeurIPS, ICML, and ICLR.
- Collaborate directly with customers to transition research breakthroughs into production systems.
Requirements
- PhD, or Master's degree with 6+ years of applied research experience.
- 3+ years of experience building machine learning models for business applications.
- Proficiency in Python, Java, C++, or related languages.
- Strong experience with neural deep learning methods and machine learning.
- Must be based in the USA to support the hybrid work model.
Culture & Benefits
- Comprehensive health insurance including medical, dental, vision, and prescription coverage.
- Financial security via 401(k) matching and restricted stock units (RSUs).
- Emphasis on work-life harmony with flexible hybrid work options.
- Inclusive environment supported by employee-led affinity groups and diversity events.
- Strong focus on mentorship, knowledge-sharing, and continuous professional growth.
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