Join us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success organization is the growth and development engine for our Store.
Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops.
We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.
We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP recruitment strategy and drive new seller success.
As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation.
You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions.
We prefer candidates with strong causal ML knowledge. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.
You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com / research).
Key job responsibilities
As a Sr. Applied Scientist in the team, you will :
- Identify opportunities to improve SP growth and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).
- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.
- Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.
- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.
- Be responsible for communicating our science innovations to the broader internal & external scientific community.
BASIC QUALIFICATIONS
- 4+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Senior Applied Scientist, Optimal Sourcing Systems
Are you up to the task of delivering innovative solutions that manages a supply chain of millions of unique products involving hundreds of thousands of suppliers and tens of millions of customers around the world? Amazon’s Strategic Sourcing team is looking for Senior Applied Scientists to build Ama...
Senior Applied Scientist, Amazon Connect
We are looking for a senior audio applied scientist with experience and expertise in speech and audio signal processing, machine learning, automatic speech recognition, and/or natural language processing to work on state-of-the-art solutions for applications including speech enhancement, voice analy...
Senior Applied Scientist, Alexa Smart Home
As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home ...
Senior Applied Scientist, Artificial General Intelligence
The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and w...
Sr. Product Manager - Tech, Selling Partner Growth & Dev
This person is an expert in technical Product Management and has the ability to develop, lead, and inspire others to the highest standards of deliverables and in collaborating effectively with end-users, customers, engineers, scientists, designers and senior leadership. Ideal candidates will think b...
Senior AI/ML Scientist - Generative AI and Knowledge Graphs ( Seattle & Bay Area)
SAP AI Product Engineering is responsible for designing central frameworks and cloud services such as Joule, Generative AI Hub, AI Core, and Document Information Extraction as the AI foundation for embedded AI throughout our portfolio in addition to our efforts towards SAP’s foundation models, both ...
Senior Applied Scientist, Kumo
We are looking for a Senior Applied scientist who will function as a science leader and drive innovation with Gen AI to bring paradigm shift to how the business operates and build “best in the world” experience that customers will love!. Experience with large scale machine learning systems such as p...
Senior Research Scientist, Multimodal Machine Learning - Trust and Safety
Our Trust and Safety RD team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms. Our comp...
Senior Counsel / Partner - Alcohol & Cannabis Regulatory Practice
This is a unique opportunity for a senior attorney to work in an innovative regulatory practice and make a meaningful impact in the alcohol and cannabis industries. Senior Counsel / Partner – Alcohol & Cannabis Regulatory Practice. This is an exceptional opportunity to advise clients in the alco...
Applied Scientist , Customer Engagement Technology, Self-Service & Automation
The Applied Scientist in NLP within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing conversational AI systems based on large pretrained language models, that can understand and communicate w...