Manager, Applied Science, International Seller Services

Amazon • Seattle, WA

6d

About The Position

Are you interested in leading growth initiatives for one of Amazon’s most
significant and fastest growing businesses? Selling Partners offer hundreds of
millions of unique products and are a critical to delivering on our vision of
offering the Earth’s largest selection and lowest prices. The Amazon Marketplace
enables over 2 million third-party selling partners in eleven marketplaces to
list their products for sale to Amazon customers across the world. Within our WW
Marketplace business, International Seller Services (ISS) oversees the
recruiting and development of Selling Partners for all of our international
marketplaces (e.g. UK, Germany, Japan, Middle East etc.). ISS also enables
global selling, helping Sellers in one country expand and sell internationally.
Are you fascinated by the power of Natural Language Processing (NLP) and Large
Language Models (LLM) to transform the way we interact with technology? Are you
passionate about applying advanced machine learning techniques to solve complex
challenges in the e-commerce space? If so, the Central Science Team of Amazon's
International Seller Services has an exciting opportunity for you as an Applied
Science Manager. We are seeking an experienced science leader who is adept at a
variety of skills; especially in generative AI, computer vision, and large
language models that will help international sellers succeed as they sell on
Amazon.

The right candidate will provide science leadership, establish the right
direction and vision, build team mechanisms, foster the spirit of collaboration
and innovation within the org, and execute against a roadmap. This leader will
provide both technical direction as well as manage a sizable team of scientists.
They will need to be adept at recruiting, launching AI models into production,
writing vision/direction documents, and building team mechanisms that will
foster innovation and execution. Additionally, while the position is based in
Seattle, this leader will interact with global leaders and teams in Europe,
Japan, China, Australia, and other regions.

Requirements

• 5+ years of scientists or machine learning engineers management experience
• Experience building speech recognition and natural language processing systems (like commercial speech products or government speech projects) as academic or professional work
• PhD in Computer Science, Computer Engineering, or related technical field; OR Master's Degree in Computer Science, Computer Engineering, or related technical field with 5+ years of experience as a Scientist/Engineer.

Nice To Haves

• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
• Experience programming in Java, C++, Python or related language
• Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals

Responsibilities

• Drive end-to-end applied science projects that have a high degree of ambiguity, scale, complexity.
• Provide technical / science leadership related to NLP, computer vision and large language models.
• Research new and innovative machine learning approaches.
• Recruit high performing Applied Scientists to the team and provide mentorship.
• Establish team mechanisms, including team building, planning, and document reviews.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree