Senior Applied Science Manager

1 month ago

London, Greater London, United Kingdom Amazon Full time
Job Summary

We are seeking an experienced Applied Science Manager to lead our Generative AI Innovation Center team at Amazon. As a key member of our organization, you will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems.

The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical "face" of AWS within our solution providers' ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success.

Key Responsibilities
  1. You will work directly with customers to drive adoption and shape the future of the most exciting emerging technology by understanding the business problem and guiding our customers in implementation of generative AI solutions, and developing long-term strategic relationships with key accounts.
  2. You will help develop the industry's best generative AI delivery team by enabling and coaching your specialist team on best practices and how to create and present value-driven architectures of widely varying size and complexity. You will grow an existing team by hiring, on-boarding, training, and developing new Scientists, Architects, and Engineers from internal and external sources.
  3. You will identify opportunities for building reusable technical assets based on recurring patterns of customer needs.
  4. You will provide customer and market feedback to Product and Engineering teams to help define product direction.
About the Team

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

Requirements
  • PhD in Computer Science (CS), Computer Engineering (CE), or related technical field.
  • Several years of scientists or machine learning engineers management experience and knowledge of ML, NLP, Information Retrieval and Analytics.
  • Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
  • Experience directly managing scientists or machine learning engineers.
Preferred Qualifications
  • Experience building machine learning models or developing algorithms for business application.
  • Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.
  • Deep expertise in generative AI and hands-on experience of deploying and hosting Large Foundational Models.
  • Experience and deep knowledge of AWS and AWS AI/ML services.
  • Project management experience working on cross-functional projects.

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