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Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team, London
Client:
AWS EMEA SARL (UK Branch)
Location:
London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
86ebdb544295
Job Views:
3
Posted:
28.04.2025
Expiry Date:
12.06.2025
Job Description:
Do you have a deep technical background in Generative AI within the startup space? Are you looking to work with leading startups at the forefront of Generative AI? Join the Generative AI Innovation and Delivery Team (GenAIID) at AWS!
The mission of the GenAIID team is to drive startup innovation by making AWS the preferred platform for GenAI experimentation, building, and scaling. We collaborate with startups to address their infrastructure needs, evolve their GenAI products, and integrate GenAI into their SaaS applications, providing guidance on responsible and cost-effective AI practices. You will work directly with startups, designing experiments, researching algorithms, and optimizing solutions to improve risk management, profitability, and customer experience. We seek Applied Scientists passionate about helping startups leverage GenAI to solve unprecedented problems.
Key responsibilities include:
- Collaborating with AI/ML scientists and engineers to develop generative AI solutions for real-world applications.
- Interacting with customers to understand their needs, assisting in implementing solutions, and guiding their adoption processes.
- Optimizing solutions through model selection, training, tuning, and hardware optimization.
- Understanding the GenAI ecosystem for startups to improve programs and customer experiences.
- Providing feedback to product and engineering teams for future enhancements.
- Identifying patterns and creating reusable assets to scale impact.
About the team:
We value diverse experiences and encourage candidates to apply even if they do not meet all qualifications. We welcome those starting their careers or with non-traditional paths.
Why AWS?
AWS is the most comprehensive cloud platform, trusted by startups to Global 500 companies. We foster a culture of learning, inclusion, and continuous growth.
Work/Life Balance:
We promote flexibility and support work-life harmony to enable success both professionally and personally.
Minimum qualifications:
- PhD or Master’s with 6+ years of applied research experience.
- 5+ years of experience with Python for model development and evaluation.
- 5+ years in algorithms, data structures, numerical optimization, data mining, or high-performance computing.
- 2+ years of experience with generative AI solutions and technologies.
- Experience with patents or peer-reviewed publications.
Preferred qualifications:
- Experience in startups or with startup customers.
- Experience with LLM-powered agents, model customization, and orchestration.
- Hands-on experience with GPU/TPU optimization and open-source frameworks like LangChain or LlamaIndex.
- Experience building AI applications with AWS services such as Amazon Bedrock or SageMaker.
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