Senior Applied Scientist, Sponsored Products

What you'll do

• Lead end-to-end ML projects, developing and deploying models and scalable processes into production.
• Apply LLM and GenAI techniques, analyze data, and run experiments to improve advertising outcomes and shopper experience.
• Research new approaches, provide technical leadership, and recruit, mentor, and grow Applied Scientists.

What they ask for

• 3+ years of experience building machine-learning models for business applications.
• PhD, or Master's degree and 6+ years of applied research experience.
• Programming experience in Java, C++, Python, or a related language; experience with neural deep learning and machine learning.
• Experience building speech recognition, machine translation, and natural language processing systems.

Nice to have

• Experience with large-scale machine-learning systems, including profiling, debugging, performance, and scalability.
• Experience with large-scale ML infrastructure for recommendation, ads ranking, personalization, or search; LLM experience is also listed.

Pay

167,100.00 - 226,100.00 USD annually (base salary)

Tools

Java, C++, Python, LLMs, RAG, deep learning, natural language processing (NLP), A/B experiments

AI focus

Build and productionize ML and generative-AI systems for sponsored-product search and advertising, including LLM applications using prompt engineering, fine-tuning, RAG, and evaluation; the team also uses multi-agent workflows.