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.
Software Engineer (Leadership) - Machine Learning Responsibilities:
- 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)
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- 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
- 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
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.