The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. 

You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. 

You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

• 5+ years of experience in these areas machine learning, recommendation systems, pattern recognition or data mining
• Proven experience to translate insights into business recommendations
• Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable
• Knowledge developing and debugging in C/C++ and Java
• Suggest, collect and synthesize requirements and create effective feature roadmaps
• Solid background of ML domains (NLP, computer vision, recommendation, anomaly detection, graph learning), algorithms (deep learning, gradient boosted trees, optimization), and best practices, (e.g. skew minimization, A/B testing, feature engineering, model selection)
• Familiar with PyTorch, TensorFlow, Spark, Airflow and other LLMs.