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
• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• Effectively communicate complex features and systems in detail
• Understand industry & company-wide trends to help assess & develop new technologies
• Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
• Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
• Suggest, collect and synthesize requirements and create an effective feature roadmap
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

• Experience leading projects with industry-wide impact
• Experience communicating and working across functions to drive solutions
• Experience in mentoring/influencing engineers across organizations
• Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
• Experience in driving large cross-functional/industry-wide engineering efforts
• 12+ years of experience in programming languages (Python, C++, Java or R) with technical background
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Meta participates in the E-Verify program in certain locations, as required by law
• 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
• Software Engineer (Technical Leadership) - Machine Learning Specialist Responsibilities:
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

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 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence

*Public Compensation:* $219,000/year to $301,000/year + bonus + equity + benefits $219,000/year to $301,000/year + bonus + equity + benefits