Sr. Applied Scientist, Sponsored Products and Brands

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

Key job responsibilities
Design and develop a state-of-the-art Agentic service platform using advanced Gen AI/ML technologies that provide consistent well-reasoned outcomes for advertiser guidance in a secure & reusable architecture delivering low latency and secure advertiser experiences
Lead business and science strategy and roadmap for the team
Design and build agents to guide advertisers in conversational and non-conversational experience.
Design and implement advanced model and agent optimization techniques including supervised fine-tuning instruction tuning and preference optimization (e.g. DPO/IPO).
Curate datasets and tools for MCP.
Build evaluation pipelines for agent workflows including automated benchmarks multi-step reasoning tests and safety guardrails.
Collaborate with peers across engineering and product to bring scientific innovations into production.
Stay current with the latest research in LLMs RL and agent-based AI and translate findings into practical applications.


A day in the life
As a Sr. Applied Scientist on the Sponsored Products and Brands Agentic Guidance Integrations (SPB-AGI) team you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are:
Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes tools and statistical methods which support rational decision-making.
Team obsessed: You help the team achieve results. You foster the creative atmosphere to let engineers innovate while holding them accountable for making smart decisions and delivering results.
Humbitious: Youre ambitious yet humble. You recognize that theres always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.
Engaged by ambiguity: Youre able to explore new problem spaces with unique constraints and thus non-obvious solutions; youre quick to identify any gaps in the team and the right person to fill them to best deliver value to customers
Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges


About the team
Were looking for a brilliant Applied Scientist to spearhead our Sponsored Products and Brands Agentic Integrations (SPB-AI) team. The team owns the foundational infrastructure for SPB agentic experiences providing a unified entry point for internal and external agentic applications. Our teams charter is to build a highly personalized context-aware agentic guidance system that leverages LLMs ML models and optimization algorithms. This agentic infrastructure will operate across both chat and non-chat experiences in the ad console scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser.

The agentic experiences we own include personalized insights guidance holistically accounting for an advertisers product catalog performance metrics and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertisers experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser updating individual widgets with recommendations or filtering capabilities that are most applicable 2) an AI companion in Next Gen Selling Seller Central or Seller Assistant that provides a personalized interactive and automated experience where Selling Partners receive data-backed guidance for growing their business making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights.

- 3 years of building machine learning models for business application experience
- PhD or Masters 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

- 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.

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