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Sr. Applied Scientist, Sales AI

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Amazon

Feb 23

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Seattle

AI generated summary

  • You need 3+ years of ML model building, a PhD/Master's with 6+ years of research, coding skills in Java/C++/Python, experience in RL, NLP, and large-scale systems like Spark.
  • You will lead ML research, design models, analyze data, run A/B experiments, collaborate with engineers, and enhance data analytics for Ad Sales optimization.

Requirements

  • 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
  • Applied research experience in Reinforcement Learning (RLHF, policy gradient methods), Large Language Models (fine-tuning, guardrails, distributed training) and/or Natural Language Processing
  • 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.

Responsibilities

  • Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business
  • Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects
  • Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
  • Run regular A/B experiments, gather data, and perform statistical analysis
  • Work closely with software engineers to deliver end-to-end solutions into production
  • Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving

FAQs

What is the primary focus of the Sr. Applied Scientist, Sales AI role?

The primary focus of the role is to shape the future of Advertising and B2B Sales by building new, science-backed AI/ML services to drive insights, recommendations, and improve workflows for account teams within the Amazon Advertising organization.

What qualifications are necessary for this position?

The basic qualifications include 3+ years of experience in building machine learning models for business applications, a PhD or Master's degree with 6+ years of applied research experience, programming experience in Java, C++, or Python, and applied research experience in areas such as Reinforcement Learning, Large Language Models, and Natural Language Processing.

What are the preferred qualifications for this role?

Preferred qualifications include experience with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, and scipy, as well as experience with large-scale distributed systems such as Hadoop and Spark.

What kind of projects will I be working on?

You will be conceptualizing and leading research on new Machine Learning and Generative AI solutions to optimize various aspects of the Ad Sales business, guiding the design and implementation of successful models, conducting deep data analysis, running A/B experiments, and collaborating with software engineers on production solutions.

What is the expected impact of this position?

The position is expected to have a significant impact on influencing customer-facing shopping experiences, driving long-term scientific vision in advertising sales, and improving operational efficiency for account teams via innovative AI/ML solutions.

Is there room for career growth in this role?

Yes, there is significant potential for career growth as you will be involved in shaping cutting-edge solutions in a fast-growing area of Amazon's business, allowing for opportunities to influence and advance in both scientific and product leadership.

What does the company offer in terms of compensation?

The base pay for this position ranges from $150,400 to $260,000 per year, depending on geographic location and is based on factors like skills, knowledge, and experience. Additional compensation may include equity, sign-on payments, and a full range of benefits.

Will there be opportunities for innovation and experimentation in this role?

Yes, the team encourages a highly motivated and collaborative environment with an entrepreneurial spirit, allowing room for experimentation and innovation within the scope of creating world-class advertising products.

Are there any specific requirements for candidates in Los Angeles County?

Yes, applicants in Los Angeles County must adhere to standards of excellence, communicate effectively with colleagues, and follow all relevant laws and company policies, including considerations for criminal history under the Fair Chance Ordinance.

How does Amazon support inclusivity in the hiring process?

Amazon provides accommodations for applicants with disabilities during the application and hiring process, including support for interviews and onboarding. Additional information can be found on Amazon's website regarding workplace accommodations.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.