Applied Scientist Manager, Consumer Electronics Technology

Amazon; Seattle (WA); On-site; USD 165,000 - 286,000; Full time

Job summary

An established industry player is seeking an Applied Science Manager to lead a talented team in leveraging cutting-edge AI and ML technologies. This role offers the opportunity to drive innovative solutions that enhance customer experiences on a global scale. You will collaborate with cross-functional teams to develop algorithms and models that directly impact customer satisfaction and business success. With a focus on operational excellence and strategic vision, this position is perfect for those looking to make a significant impact in a dynamic environment. Join a diverse and inclusive workplace where your contributions will be valued and recognized.

Benefits

Medical Benefits

Equity Options

Sign-on Payments

Flexible Work Hours

Diversity and Inclusion Programs

Qualifications

• 5+ years of management experience in scientists or ML engineers.
• 6+ years of experience in building ML models or algorithms.

Responsibilities

• Set strategic vision for the Applied Science team and drive it forward.
• Create mechanisms for team functioning and execution.
• Guide team in creating sophisticated algorithms for business metrics.

Skills

Machine Learning

Artificial Intelligence

Generative AI

Deep Learning

Scrum Methodology

Data Science Solutions

Algorithm Development

Education

PhD in Engineering or Related Field

Master's Degree in Computer Science

Tools

PyTorch

TensorFlow

MxNet

Job description

Applied Scientist Manager, Consumer Electronics Technology

Job ID: 2858695 | Amazon.com Services LLC

Amazon's Consumer Electronics Tech (CE Tech) organization is seeking an Applied Science Manager to lead, manage, and grow a team of talented Applied Scientists. This team leverages Artificial Intelligence (AI) including Generative AI (GenAI) and state of the art Machine Learning (ML) techniques to build the next-generation experiences for customers shopping on the Amazon website and the mobile app. Many of the initiatives we prioritize have broad, cross-category scope and impact, from developing innovating science solutions to improve personalized product attach recommendations, generating detail page content for Bundle ASINs, developing solutions for the evaluation and benchmarking of Large Language Models for a variety of use cases, etc. In 2024, we also launched the fastest growing and most used AI Assistant by Amazonians using Anthropic's Claude LLMs. As the AS manager, you will be leading an exciting and diverse portfolio of AS initiatives, and you will have strong influence on our prioritization.

Key Responsibilities

1. Set the strategic vision for the Applied Science team in collaboration with key stakeholders, and drive the vision forward. This includes up-leveling the team's profile within the broader SVP org and identifying collaboration opportunities with other teams and execute on them, as well as contributing actively to annual planning, product roadmap prioritization, and maintaining a high bar on operational excellence.
2. Create mechanisms for the smooth functioning of your team, including mechanisms for auditing, sprint planning, and execution.
3. Hire & Develop your team, including creating appropriate scope of work for your team members to set them up for success.

Your team will partner closely with Product Managers, Software Development Managers, and Software/ML engineers to envision, and bring to life features and experiences that delight Amazon shoppers WW. In addition, this team also invests in developing strong thought leadership with cross-organization influence, as well as publishing papers at prestigious internal and external AI / ML conferences.

As the Applied Science Manager, you will be responsible for guiding your team in the creation and deployment of sophisticated algorithms and models that drive measurable improvements in customer satisfaction and business metrics. You will identify high-impact opportunities and translate complex business problems into actionable data science solutions.

BASIC QUALIFICATIONS

• 5+ years of scientists or machine learning engineers management experience
• 6+ years of building machine learning models or developing algorithms for business application experience

PREFERRED QUALIFICATIONS

• Experience building machine learning models or developing algorithms for business application
• Experience with the Scrum methodology (or similar alternatives) for agile software development
• Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet
• Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Strong publication record at top ML conferences and journals

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.

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 this link for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/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 this link.

Posted: December 20, 2024