Applied Science Manager, Personalization Team

Earth's most customer-centric company focused on e-commerce and technology
$150,000 - $250,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · E-Commerce

Description For Applied Science Manager, Personalization Team

Amazon's Personalization organization is seeking an Applied Science Manager to lead a team focused on revolutionizing e-commerce experiences. This role combines big data, machine learning, and customer-centric innovation to shape the future of personalized shopping. You'll be working with Amazon's extensive computational resources and e-Commerce expertise to build next-generation shopping experiences that impact hundreds of millions of customers worldwide.

The position involves leading a team responsible for developing personalization solutions for health & personal care, groceries, and other growing product categories. You'll oversee the entire software lifecycle, from design to implementation, while leveraging machine learning approaches to create delightful customer experiences. The role demands technical excellence, strategic thinking, and strong leadership skills.

As an Applied Science Manager, you'll be part of a high-performing organization known for its culture of rapid prototyping, rigorous experimentation, and data-driven decision-making. The team has a proven track record of revolutionary features like "Customers Who Bought Also Bought" and "Recommended for You". You'll work in an environment that values customer obsession, technical innovation, and team member growth.

The ideal candidate combines technical expertise with leadership abilities, bringing experience in machine learning, distributed systems, and large-scale production environments. You'll have the opportunity to shape the future of e-commerce while working with cutting-edge technology and leading a team of talented engineers and scientists. The role offers high visibility, meaningful impact, and the chance to solve complex technical challenges at unprecedented scale.

Last updated 3 months ago

Responsibilities For Applied Science Manager, Personalization Team

  • Lead and mentor a team of software engineers and scientists
  • Oversee all aspects of the software lifecycle
  • Design and implement machine learning solutions
  • Deliver customer-facing experiences
  • Work with product management to define strategy and requirements
  • Communicate with senior management on status, risks, and strategy
  • Build and maintain large-scale production systems

Requirements For Applied Science Manager, Personalization Team

Python
Java
  • Master's degree
  • Knowledge of ML, NLP, Information Retrieval and Analytics
  • Experience directly managing scientists or machine learning engineers
  • Experience programming in Java, C++, Python or related language
  • Experience in building machine learning models for business application
  • Experience in applied research

Benefits For Applied Science Manager, Personalization Team

  • Equal opportunity employer
  • Inclusive work culture
  • Work-life balance
  • Learning and growth opportunities

Interested in this job?

Jobs Related To Amazon Applied Science Manager, Personalization Team

Research Engineer III, Amazon AWS AI

Senior AI research position at AWS focusing on multimodal LLMs and computer vision, requiring strong ML background and 3+ years experience.

Machine Learning Engineer, Generative AI Innovation Center

Senior Machine Learning Engineer position at Amazon's GenAI Innovation Center, focusing on developing enterprise-scale generative AI solutions.

Sr ML Compiler Engineer, Annapurna Labs

Senior Machine Learning Compiler Engineer position at AWS focusing on ML accelerator development and optimization.

Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs

Senior Machine Learning Compiler Engineer role at AWS developing cutting-edge compiler technologies for ML accelerators, offering competitive compensation and opportunity to work on innovative AI infrastructure.

Senior Applied Scientist, Computer Vision, AWS Infrastructure Service

Senior Applied Scientist role focusing on Computer Vision systems for AWS data centers, combining ML expertise with practical implementation for infrastructure automation.