Manager, Applied Science , Brand Protection ML

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Brand Strategy, Business Operations, Communication Skills, Computer Vision, Customer Relations, Deep Learning, Global Branding, Leadership, Machine Learning, Modality, Modeling Languages, Natural Language Processing (NLP), Problem Solving Skills, Purchasing/Procurement, Resolve Customer Issues, Sales, Scalable System Development, Strategic Planning, Team Building, Team Lead/Manager, Thought Leadership, Training/Teaching
LOCATION
Seattle, WA
POSTED
30+ days ago

Amazon Science gives you insight into the company's approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.

Please visit https://www.amazon.science for more information.

Are you an expert in Computer Vision (CV), Natural Langugage Procesing (NLP) or Multi-Modality Large Language Models (MLLM)? Are you interested in building Generative AI solutions on complex business problems that have significant global benefit.

The Brand Protection Science team designs and builds highly performing and scalable AI models using machine learning, deep learning, LLM/Gen AI to identify and prevent infringement abuse and counterfeit on behalf of buyer, seller and brand owners worldwide.

As an Applied Science Manager, you will be lead a group of highly talented scientists, and partner with Tech, Business and Operations, to build the strategic vision for brand protection, drive execution and launch scalable AI solutions operating on billions of Amazon product listings WW for Brand Protection.

Key job responsibilities

You will lead a team of Applied Scientist to work backwards from customer needs and solve complex scientific problems that have a high business and customer impact.

As a manager, You will be the thought leader for inventing novel science solutions using SOTA ML techniques including LLM and GenAI.

You partner with your stakeholders and leadership to define the science vision and strategies for your team.

You have excellent communication skills to explain complex scientific approaches to a variety of stakeholders and customers, and bridge the gap between science, tech, and business,.

You are accountable for the science vision and strategic direction of your team, the artifacts they provide, and any technologies owned.

You will establish structures that enable your team to consistently deliver.

You will also lead your team to leverage the broader Amazon scientific community, and build a team culture that focuses on bringing research to production, removing road blockers, and delivering more results for Amazon customers.

You are strategic about the team members'' growth and provide those interested with opportunities to demonstrate higher level role scope, impact, complexity and leadership.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles