The RoleWe 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 and applications to enhance our ultra-low-latency ad-serving platform and consumer-facing search solutions.
You will collaborate closely with product, business, and other engineering teams, making significant contributions to strategic initiatives such as relevancy & 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.
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 to ensure model reliability and performance.
- Contribute significantly 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 iteratively improve model performance.
- Design, build, and maintain production software systems and microservices that support AI/ML applications, with a focus on reliability, scalability, low latency, and high throughput.
- Communicate effectively, collaborate, and build long-term relationships across the organization.
Basic Qualifications- 3+ years of experience years of industry experience in AI/ML, developing and deploying production-grade ML systems.
- 2+ years of experience in building AI/ML models in at least one of the following domains: Ads, relevance, ranking, recommendation systems, and 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 Qualifications- 3+ 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.
- 2+ years of experience in building and deploying online experimentation frameworks to identify right models and features at scale.
- 2+ years of experience in building ad selection frameworks using reinforcement learning or contextual bandits.
- Experience in fine tuning LLMs.
- 1+ years of experience in building products using Generative AI powered autonomous agents.
Compensation: $145k - $175k + Bonus + Equity
