**Summary:** Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. **Required Skills:** Software Engineer (Leadership) - Machine Learning Responsibilities: 1. Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient 2. Effectively communicate complex features and systems in detail 3. Understand industry & company-wide trends to help assess & develop new technologies 4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization 5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas 6. Suggest, collect and synthesize requirements and create an effective feature roadmap 7. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models 8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 9. Experience leading projects with industry-wide impact 10. Vast experience communicating and working across functions to drive solutions 11. Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision 12. Experience in driving large cross-functional/industry-wide engineering efforts 13. Significant experience in programming languages (Python, C++, Java, or R) with a technical background 14. Significant experience in mentoring/influencing senior engineers across organizations 15. Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence **Preferred Qualifications:** Preferred Qualifications: 16. B.S. Computer Science or related technical field 17. Experience in shipping products to millions of customers or have started a new line of product 18. Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark **Industry:** Internet