Meta Software Engineer (Leadership) - Machine Learning in Denver, Colorado
Meta 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.
Software Engineer (Leadership) - Machine Learning Responsibilities:
Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
Effectively communicate complex features & 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 senior engineers across organizations
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
12+ years of experience in programming languages (Python, C++, Java or R) with technical background
8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at firstname.lastname@example.org.
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