Applied Scientist I, ALX SIERRA

Amazon; Seattle (WA); On-site; USD 129,000 - 213,000; Full time

Job summary

A leading company is seeking an AI/ML scientist to develop innovative solutions that impact employee experiences. The role involves designing models, collaborating with product teams, and utilizing advanced machine learning techniques. Candidates should have a strong background in quantitative fields and programming. This position offers high visibility and opportunities for publishing work.

Qualifications

• Master's degree in a quantitative field required.
• Experience programming in Java, C++, or Python.

Responsibilities

• Design and implement models and science-based product ideas.
• Develop fair predictive models for business outcomes.
• Productionize ML and GenAI models at Amazon scale.

Skills

Machine Learning

Natural Language Processing

Programming

Education

Master's degree in computer science

PhD in computer science

Tools

Java

C++

Python

SQL

Job description

Job ID: 2978057 | Amazon.com Services LLC

Amazon Leadership eXperiences (ALX) Science's mission is to develop science that shapes human behavior in managing Amazon’s talent. We develop the core science for all Amazon-wide talent management and development experiences. Our multidisciplinary science team comprises of applied scientists, data scientists, economists and research scientists. We partner closely with product teams to build scalable science solutions that work backwards from internal customer problems for all of Amazon's businesses and locations around the world. Some of our work includes GenAI-powered writing assistance and insights, talent development and matching recommendations, experimentation and north star metrics, predictive and root cause models for talent events, voice of the customer qualitative analyses frameworks, and talent evaluation framework research.

We are looking for an AI/ML scientist who has experience building, applying and customizing GenAI and traditional ML solutions to solve customer problems. Techniques we use on the team include NLP, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning, algorithmic fairness and others on rich and novel datasets.

As an applied scientist on the team, you will develop AI/ML solutions that handle Amazon-scale use cases and have a significant impact on our employees' lives. You will have the opportunity to work on exciting problems, publish and patent your work in one of the most high impact and innovative applications of science in the People Experience and Technology space. The role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate these models into production systems. If this kind of work excites you, reach out to us to find out more!

Key job responsibilities
- Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders
- Develop fair predictive models to understand important business and people-centered outcomes
- Productionize ML and GenAI models at the scale of Amazon

About the team
ALX Science is an experienced central interdisciplinary organization of scientists spanning machine learning, economics and research that builds science models for Amazon's worldwide employee-facing talent management products, designs and supports experiments for product features, and measures impact of product and program initiatives across the broader organization. Examples of our work include GenAI-powered summarization and writing assistants, content and people recommendation systems, scalable experimentation products and measuring organizational north star metrics.

BASIC QUALIFICATIONS

- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

PREFERRED QUALIFICATIONS

- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Have publications at top-tier peer-reviewed conferences or journals
- Experience implementing algorithms using both toolkits and self-developed code

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.