Meta is seeking Machine Learning Engineers to apply their skills to massive social data and prediction problems on the web, aiming to improve efficiency and develop new technologies.
Requirements
- Experience in programming languages (Python, C++, Java or R) with technical background
- Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence
- Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
- Experience in shipping products to millions of customers or have started a new line of product
- 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.
Responsibilities
- 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)
- Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
- Understand industry & company-wide trends to help assess & develop new technologies
- Suggest, collect and synthesize requirements and create an effective feature roadmap
- 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
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 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
- For those who live in or expect to work from California if hired for this position.
