Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
Amazon Strategic Account Services (SAS) Tech Organization is seeking an Applied Scientist II who can autonomously drive scientific innovations from research to production, developing sophisticated AI solutions that serve both Amazon's global seller base and internal Marketplace Consultants. In this highly collaborative environment, you will leverage expertise in machine learning, operations research, and statistics to translate theoretical advances in large language models (LLMs), probabilistic modeling, and optimization into practical applications. The role demands strong capabilities in prototyping and iterative improvement, bridging cutting-edge models with real-world applications while maintaining scientific rigor and measurable business impact.

Key responsibilities include:
- Leading the development of advanced AI solutions leveraging deep learning, LLMs, and machine learning techniques to transform seller operations and internal consultancy capabilities at scale
- Defining and driving the long-term scientific vision for the organization, translating complex business challenges into innovative technical solutions that advance applied machine learning
- Designing and implementing advanced ML architectures combining multiple learning paradigms such as reinforcement learning, causal inference, and predictive modeling
- Architecting next-generation recommendation and optimization systems that handle complex multi-dimensional constraints while maintaining robustness and interpretability at scale
- Driving end-to-end development of AI applications from research through production, collaborating with engineering teams to ensure successful deployment and conducting rigorous A/B experiments to validate impact
- Pioneering novel applications of foundation models and generative AI, developing sophisticated evaluation frameworks while maintaining Amazon's high standards for accuracy and reliability
- Leading technical discussions across organizational boundaries and effectively communicating complex scientific concepts to diverse stakeholders while staying at the forefront of ML/AI research advancements

About the team
The Amazon Strategic Account Services (SAS) team aims to accelerate the full potential of our Sellers, helping them navigate the increasing complexity of the e-commerce space. The team provides in-depth strategic consultancy using a data-driven, collaborative, and customer-focused approach to achieve the commercial goals of Amazon Sellers.

Experience
- PhD, or a Master's degree with experience in building models for business applications
- Programming experience in at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in one or more of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

About you
- Proven track record of investigating, designing, and delivering innovative machine learning solutions that drive significant business impact
- Strong ability to lead scientific innovation from research to production
- Excellent communication skills to convey complex scientific concepts to diverse stakeholders
- Collaborative mindset with a passion for advancing ML/AI research and applying it to real-world challenges

Qualifications
- Advanced degree (PhD preferred) in Computer Science, Statistics, Mathematics, Operations Research, or a related field
- Deep understanding of machine learning, deep learning, reinforcement learning, causal inference, and optimization techniques
- Experience with large-scale AI system design and deployment