Senior Machine Learning Engineer

What you'll do

• Drive end-to-end lifecycle management of AI/ML projects from concept and data acquisition to prototyping, model development, deployment, optimization and ongoing maintenance
• Implement and champion best practices in MLOps including data collection, model training pipelines, model deployments, monitoring, alerting, and QA
• Contribute to model architecture decisions leveraging state-of-the-art machine learning, deep learning, and reinforcement learning techniques
• Develop and deploy robust feature engineering pipelines and ML services optimized for low latency and high throughput
• Establish and utilize robust A/B testing and experimentation frameworks to evaluate and improve model performance
• Translate research papers into high-quality, production-ready code
• Communicate effectively and collaborate across the organization

Requirements

• PhD with 3+ years of experience or MS with 3-5+ years of industry experience in AI/ML, developing and deploying production-grade ML systems
• 2+ years of experience in building AI/ML models in ads, relevance, ranking, recommendation systems, or search
• 3+ years of experience in building distributed, low-latency, high-throughput batch and online ML services
• 3+ years of experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworks
• 2+ years of experience in Python and proficiency with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure
• 2+ years of 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: 5+ years of experience in building ML models for ads, search and/or recommender systems including CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models
• Preferred: 2+ years of experience in building and deploying online experimentation frameworks
• Preferred: 2+ years of experience in building ad selection frameworks using reinforcement learning or contextual bandits
• Preferred: Experience in fine tuning LLMs
• Preferred: 1+ years of experience in building products using Generative AI powered autonomous agents

Tech stack

Benefits