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Описание вакансии
Текст:
TL;DR
Machine Learning Scientist (GenAI): Building agentic AI systems, domain-specific large language model applications, and automated cloud optimization for AWS services with an accent on generative AI, reinforcement learning, natural language processing, and deep learning. Focus on designing experiments, fine-tuning models, generating strategic insights from large datasets, and taking prototypes into production systems.
Location: Seattle, Washington, USA
Salary: $142,800–$193,200 annually, plus sign-on payments and restricted stock units.
Company
Amazon Web Services provides a comprehensive cloud platform used by startups and Global 500 companies.
What you will do
- Build agentic AI systems and generative AI solutions for AWS services.
- Fine-tune large language models for domain-specific business applications.
- Develop reinforcement learning and automated cloud optimization solutions.
- Generate strategic insights and recommendations from very large datasets.
- Move ideas through experiments and prototypes into live production systems.
- Apply machine learning techniques including natural language processing and deep learning.
Requirements
- PhD, or a master’s degree with 4+ years of experience in computer science, computer engineering, machine learning, or a related field.
- 3+ years of experience building models for business applications.
- Experience with patents or publications in top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language.
- Knowledge of algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or an equivalent quantitative field.
- Professional software development experience.
Culture & Benefits
- Flexible work hours and arrangements supporting work-life balance.
- Health, dental, vision, prescription, life, and AD&D insurance options.
- 401(k) matching, paid time off, parental leave, and flexible spending accounts.
- Mentorship, knowledge-sharing, learning experiences, and career development resources.
- Employee-led affinity groups and an inclusive team culture.
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