The Role

We are seeking an experienced Senior Machine Learning Engineer passionate about building impactful products in the search and advertising technology ecosystem. As part of our established AI/ML and Search organization, you will be instrumental in developing and optimizing advanced models to enhance our ultra-low-latency ad-serving platform and consumer-facing search solutions. You will collaborate closely with product, data science, and business teams, significantly contributing to strategic initiatives such as yield optimization, predictive modeling, and improved bidding performance. 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

• Manage the entire process of AI/ML projects and solutions, from concept development to data acquisition, prototyping, model development, and deploying the model in production.
• Create and implement procedures and tools to track and evaluate the performance and accuracy of models and data.
• 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 ML projects in industry.
• Proven expertise in building AI/ML models in at least one of the following domains: Ads, relevance, ranking, recommendation systems, and search.
• 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.
• Fluency in one of the programming languages, preferably Python or Java.
• Experience with Spark, Hadoop or other distributed frameworks, SQL, and cloud services.
• Experience with ML packages such as Tensorflow or 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 ads space or recommender systems.
• Experience in building CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models.
• Experience in building and deploying online experimentation frameworks to identify right models and features at scale.
• Experience in building ad selection frameworks using reinforcement learning or contextual bandits.
• Experience in fine tuning LLMs or building them from scratch.
• Experience in building products using Generative AI powered autonomous agents.

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

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