1 день назад
Senior Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied Scientist (AI) (LLMs and developer tools): Building LLM-based services, AI agents, and machine learning solutions that improve the developer experience in AWS with an accent on generative AI, applied modeling, and cloud-based developer tools. Focus on designing, evaluating, and deploying end-to-end models, solving ambiguous applied problems, and collaborating with engineers to bring research into production.
Location: Berlin, Germany
Company
is a cloud platform developing infrastructure, developer tools, and AI-powered services.
What you will do
- Develop and improve LLMs, AI agents, and agentic tools for business applications using Python and open-source libraries.
- Design, implement, and evaluate machine learning solutions for complex applied problems and data sources.
- Build LLM-based services that enhance the developer experience across AWS Cloud9, the AWS IDE Toolkit, and AWS Bedrock.
- Own technical quality and modeling improvements for products used by scientists and engineers.
- Collaborate with software engineers and partner teams to move solutions into production and resolve technical blockers.
- Document and communicate research through internal documents, talks, demos, and potential external publications.
Requirements
- Enrolled in or have completed a PhD.
- 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.
- Experience with algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
- Experience with Data and AI technologies, including AI/ML, GenAI, analytics, databases, or storage.
Nice to have
- Experience using Unix/Linux.
- Professional software development experience.
Culture & Benefits
- Flexible work hours and arrangements supporting work-life harmony.
- Mentorship, knowledge-sharing, and career development resources.
- Employee-led and company-sponsored affinity groups and inclusion events.
- Opportunities to explore new technologies and contribute to developer tools used worldwide.
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