adMarketplace is looking to enhance its ultra-low-latency ad-serving platform and consumer-facing search solutions by developing and optimizing advanced AI/ML models to improve yield optimization, predictive modeling, and bidding performance.
Requirements
- 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.
- Hands-on experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworks.
- Fluency in Python and proficiency with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure.
- Experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML.
- Experience in building ML models in the ads space or recommender systems.
Responsibilities
- Drive end-to-end lifecycle management of AI/ML projects from concept and data acquisition to prototyping, model development, deployment, and ongoing maintenance.
- Implement and champion best practices in MLOps, including data ingestion, model training pipelines, 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.
- Translate research papers into high-quality, production-ready code.
- Mentor junior team members in achieving engineering excellence and be a change agent on the team.
Other
- Communicate effectively, collaborate, and build long-term relationships across the organization.
- Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment.
- PhD with 5+ years of experience or MS with 5-8+ years of industry experience in AI/ML, developing and deploying production-level ML 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.
