Verified Job On Employer Career Site Job Summary: Wayfair is one of the world’s largest online destinations for the home, and they are seeking an experienced Machine Learning Scientist III to join their content recommendations team. The role involves building and optimizing ML-based recommender systems to enhance customer experience, collaborating with various teams to develop and deploy cutting-edge recommendation models at scale. Responsibilities: • Develop and optimize recommendation models that power personalized experiences across Wayfair’s site, app, email, and push notifications. • Conduct applied research to improve recommender systems using traditional ML techniques, deep learning and reinforcement learning. • Build scalable ML pipelines for training, evaluation, and inference, ensuring models operate efficiently in production. • Work closely with engineering teams to deploy models in a production environment, addressing real-world constraints such as latency, interpretability, and scalability. • Analyze model performance and iterate based on A/B test results, offline evaluation metrics, and business impact. • Leverage and contribute to open-source ML frameworks while staying up to date with cutting-edge research in recommendation systems. • Drive innovation by identifying opportunities to improve personalization strategies and developing novel algorithms that enhance customer engagement. • Collaborate with cross-functional teams including product managers, software engineers, and data scientists to align ML objectives with business goals. • Mentor other less experienced scientists on the team Qualifications: Required: • 5+ years of experience developing and deploying machine learning models, with a focus on recommendations, ranking, or personalization. • Strong theoretical understanding of machine learning and deep learning applied to large-scale recommendation problems. • Experience in training, evaluating, and optimizing recommendation models in production, leveraging techniques such as collaborative filtering, sequence modeling, representation learning and multi-armed bandits. • Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. • Familiarity with big data processing (Spark, Hadoop) and ML pipeline orchestration (Airflow, Kubeflow, MLflow). • Strong coding skills and familiarity with building scalable ML systems in cloud environments (AWS, GCP, Azure). • Ability to design experiments and analyze results using A/B testing and statistical techniques. • Excellent communication skills, with the ability to explain complex ML concepts to non-technical stakeholders and drive data-driven decisions. Preferred: • Experience developing core recommendation systems for eCommerce, marketplaces, or streaming platforms. • Familiarity with reinforcement learning or contextual bandits for adaptive recommendation strategies. Company: Wayfair is a retail store that offers a wide range of home products such as outdoor, bedding, lighting, and appliances with online services. Founded in 2002, the company is headquartered in Boston, Massachusetts, USA, with a team of 10001+ employees. The company is currently Public Company. Wayfair has a track record of offering H1B sponsorships.