Software Engineer (Leadership) - Machine Learning

Requirements

• Experience leading projects with industry-wide impact
• Vast experience communicating and working across functions to drive solutions
• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
• Experience in driving large cross-functional/industry-wide engineering efforts
• Significant experience in programming languages (Python, C++, Java, or R) with a technical background
• Significant experience in mentoring/influencing senior engineers across organizations
• Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence

What You'll Be Doing

• 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)

Nice to Haves

• B.S. Computer Science or related technical field
• Experience in shipping products to millions of customers or have started a new line of product
• Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark

Perks and Benefits

• Meta builds technologies that help people connect, find communities, and grow businesses
• Opportunity to work with cutting-edge technologies in machine learning