Sr. Principal Applied Scientist, Sponsored Products

Amazon; Palo Alto (CA); On-site; USD 130,000 - 220,000; Full time

Job summary

An established industry player seeks a Senior Principal Applied Scientist to revolutionize product discovery through advanced AI and machine learning. In this pivotal role, you will leverage your deep expertise in generative AI and large language models to create innovative solutions that enhance shopper navigation and advertiser performance. Collaborating with cross-functional teams, you will define a long-term vision for the advertising business, driving actionable plans that align with customer needs. If you are passionate about shaping the future of e-commerce and have a proven track record in AI research and application, this opportunity is perfect for you.

Qualifications

• 15+ years of experience in AI, ML, and NLP with a strong publication record.
• Expertise in developing complex, real-time AI systems and algorithms.

Responsibilities

• Invent new product experiences using GenAI and large language models.
• Liaise with teams to translate requirements into deliverables and improve efficiency.

Skills

Machine Learning

Natural Language Processing (NLP)

Generative AI

Algorithm Design

Data Structures

Statistical Analysis

Project Management

Education

Graduate degree in Computer Science or related field

Tools

Machine Learning Platforms

Job description

Sr. Principal Applied Scientist, Sponsored Products

Job ID: 2929614 | Amazon.com Services LLC

The Sponsored Products & Brands team is looking for a Sr. Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of GenAI and large language models.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SPB helps merchants, retail vendors, and brand owners succeed via advertising, which grows the incremental sales of their products sold through Amazon. The SPB team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

As a Senior Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will use your expertise to process shopper behavior and product catalog information to generate accurate shopper representations and use it to accurately predict shoppers propensity to engage with our products. You will have the opportunity to invent new approaches that help our advertisers achieve better performance using natural language as the interface. Your inputs will shape how our marketplace understands the shopper and advertiser context to present delightful discovery opportunities to our shoppers.

You will liaise with internal Amazon partners and work on bringing state-of-the-art LLM/GenAI models to production. You will stay abreast of the latest developments in the field of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists and engineers. Finally, you will work with academic partners to support our in-house talent with direct access to cutting edge research and mentoring.

BASIC QUALIFICATIONS

* Graduate degree in Computer science/Math or related field.
* Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
* Computer Science fundamentals in data structures, algorithm design and complexity analysis.
* Ability to develop machine learning platform strategy in the domain of recommender systems.
* Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.

PREFERRED QUALIFICATIONS

* 15+ years of relevant, broad research experience after PhD degree or equivalent.
* Ability to take a project from requirements gathering and design to actual product launch.
* Exceptional customer understanding skills including the ability to discover the true challenges to efficient product discovery, and experience in leading science efforts to meet timelines with optimal solutions.
* Deep expertise in Machine Learning as applied to large-scale generative models.
* Proficiency in programming for algorithm and code reviews.
* Strong core competency in mathematics and statistics.
* Track record of successful projects in algorithm design and product development.
* Publications at top-tier peer-reviewed conferences or journals.
* Strong prior experience with mentorship and/or management of senior scientists and engineers.
* Thinks strategically, but stays on top of tactical execution.
* Exhibits excellent business judgment; balances business, product, and technology very well.
* Effective verbal and written communication skills with non-technical and technical audiences.
* Experience working with real-world data sets and building scalable models from big data.

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