Senior Machine Learning Engineer

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 play a crucial role in optimizing our ad serving platform and consumer facing search products. 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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