Software Engineer (Technical Leadership) - Machine Learning Specialist

Job Description

About the Role

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.

Key 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)

Requirements

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
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
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
Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
Experience with model serving architectures and tools like TensorFlow Serving or AWS SageMaker
Proven experience in designing and implementing ML infrastructure for large-scale systems

Nice to Have

Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
Experience with model serving architectures and tools like TensorFlow Serving or AWS SageMaker
Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark

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