Monster

Sr. Applied Scientist, Customer Experience and Business Trends

Amazon

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Analysis Skills, Apache Hadoop, Apache Spark, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Analysis, Business Intelligence, C++ Programming Language, Computer Vision, Customer Experience, Data Modeling, Data Science, Data Sets, Deep Learning, Distributed Computing, Gaming, Industry/Trade Analysis, Information Retrieval, Java, Large-Scale Systems, Machine Learning, Modeling Languages, Multilingual, Natural Language Processing (NLP), Needs Assessment, Performance Analysis, Performance Modeling, Problem Solving Skills, Process Improvement, Product Development, Python Programming/Scripting Language, Quality Metrics, R Programming Language, Risk Management, Sales, Scalable System Development, Simulation, Software Development
LOCATION
Seattle, WA
POSTED
30+ days ago

Sr. Applied Scientist, Customer Experience and Business Trends

Job ID: 2882483 | Amazon.com Services LLC

Customer Experience and Business Trends (CXBT) is looking for an Applied Scientist to join their team. CXBT's mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.

The ideal candidate will have expertise in Large Language Models (LLMs), speech, audio, Natural Language processing (NLP) or multimodal learning to pioneer innovations in data simulation, representation, generation, reasoning, retrieval, and evaluation.

Key Job Responsibilities

  1. Build scalable solutions for real-time conversational experiences, including multilingual support, customizable personalities, and conversational turn-taking.
  2. Develop data simulation approaches that mimic real-world speech interactions.
  3. Research and implement novel algorithms and modeling techniques.
  4. Acquire and curate diverse datasets while ensuring user privacy.
  5. Create robust evaluation metrics and test sets to assess language model performance.
  6. Integrate human feedback to improve data selection and model performance.
  7. Innovate in data representation and model training techniques.
  8. Apply responsible AI practices throughout the development process.

A Day in the Life

Our team is dedicated to improving Amazon's products and services through evaluation of the end-to-end customer experience using both internal and external processes and technology. Our mission is to deeply understand our customers' experiences, challenge the status quo, and provide insights that drive innovation to improve that experience. Through our analysis and insights, we inform business decisions that directly impact customer experience as customers of new GenAI and LLM technologies.

About the Team

Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings for almost every business at Amazon and for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining customer needs and problem-solving, working backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team with diverse profiles, skills, and backgrounds, including Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, and Risk Managers.

BASIC QUALIFICATIONS

  1. 3+ years of building machine learning models for business application experience.
  2. PhD, or Master's degree and 6+ years of applied research experience.
  3. Experience programming in Java, C++, Python or related language.
  4. Experience with neural deep learning methods and machine learning.

PREFERRED QUALIFICATIONS

  1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  2. Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About the Company

A

Amazon

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