Senior AI/ML Engineer - Search and Gen AI

The Role

We are seeking an experienced AI/ML generalist who is passionate about building products in the search and ad technology ecosystem. As part of our well established AI/ML and Search organization, you will be pivotal in optimizing our AI-driven search and discovery app, integrating product feeds from various retailers and enhancing user experience through personalized search and recommendation systems. You will have a clear career progression path and numerous opportunities for both personal and professional growth in an intellectually stimulating and dynamic work environment.

Responsibilities

• Lead the development of AI/ML projects for our search and discovery application, from conceptualization to data procurement, model building, and deployment.
• Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback.
• Provide expert guidance in machine learning, deep learning, and advanced AI techniques, with a focus on e-commerce product search and recommendation systems.
• Provide thought leadership, subject matter expertise and serve as trusted advisor in machine learning, deep learning, and other state of the art AI techniques.
• Experience in contributing to high quality software at scale in a low latency environment.
• Translate research papers into high-quality, production-ready code.
• Take responsibility and ownership of features and drive key model architectural decisions.
• Communicate effectively, collaborate, and build long-term relationships across the organization.
• Mentor junior team members in achieving engineering excellence and be a change agent on the team.

Basic Qualifications

• A PhD with 5 years of experience or an MS with 5-8 years of experience in a quantitative field with experience building production systems or have equivalent experience working with large scale ML projects in industry.
• Proven expertise in building AI/ML models in at least one of the following domains: relevance, ranking, recommendation systems, and search within the e-commerce domain.
• Breadth and depth knowledge of statistical learning, machine learning, and deep learning.
• Experience in building distributed, low-latency, high-throughput batch and online ML services.
• Knowledge of how to deploy and maintain ML services in a production environment.
• Experience in designing and deploying feature engineering pipelines in production.
• Exposure to model monitoring and ML ops including containers and orchestration.
• Proficiency in Python or Java, and experience with Spark, Hadoop, SQL, and cloud services.
• Proficiency in ML packages like Tensorflow, PyTorch, scikit-learn, and Spark ML.
• Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment.

Preferred Qualifications

• 5+ years of experience in building ML models in the e-commerce product search space or recommender systems. Demonstrated ability to improve search relevance, product discovery, and user engagement through innovative ML techniques.
• Experience in fine-tuning pre-trained LLMs for specific e-commerce contexts or building custom LLMs to enhance user interaction and product discovery.
• Experience in building products using Generative AI powered autonomous agents.
• Deep understanding of how to leverage knowledge graphs in the context of e-commerce search and recommendation systems. Experience in integrating and utilizing knowledge graphs to improve product categorization, search accuracy, and personalized recommendations.
• Experience in building CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models.

*Compensation Range: $170,000 - $220,000 

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