Amazon.com Services LLC
Machine Learning Science, Applied Science, selling partner services
Manager,AppliedScience,BrandProtectionML
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“Manager, Applied Science, Brand Protection ML at Amazon.com Services LLC. Skills: Machine Learning, Deep Learning, Large Language Models, Generative AI. Lead a team of Applied Scientist. Work backwards from customer needs”
What You'll Achieve.
Identify and prevent infringement abuse; Identify and prevent counterfeit; Launch scalable AI solutions
Industry & Context.
Solve complex scientific problems
What They're Looking For.
Must Have
Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience, 2+ years of scientists or machine learning engineers management experience, Knowledge of machine learning approaches and algorithms, Knowledge of ML, NLP, Information Retrieval and Analytics, 5+ years of building machine learning models or developing algorithms for business application experience
Nice to Have
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, Experience building complex software systems, Experience with deep learning libraries, Research publications in computer vision, deep learning or machine learning, Experience with the Scrum methodology
What You'll Do.
Lead a team of Applied Scientist
Work backwards from customer needs
Solve complex scientific problems
Invent novel science solutions
Partner with stakeholders and leadership
Define the science vision and strategies
Explain complex scientific approaches
Bridge the gap between science
Accountable for the science vision and strategic direction
Establish structures that enable team to consistently deliver
Leverage the broader Amazon scientific community
Bring research to production
Deliver more results for Amazon customers
Strategic about team members' growth
Provide opportunities for higher level role scope
How You'll Work.
Team & Collaboration
Partner with Tech, Business and Operations; Partner with stakeholders and leadership; Leverage scientific community
Communication Scope
Explain complex scientific approaches; Bridge the gap between science, tech, and business
Process & Methodology
Agile software development
Full Job Description
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 bri
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