Software Engineer; Technical Leadership - Machine Learning Specialist

Position Overview

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 role involves applying these skills to tackle some of the most exciting and massive social data and prediction problems on the web.

Key Responsibilities

• Drive the team's goals and technical direction to pursue opportunities that make the broader organization more efficient
• Effectively communicate complex features and systems in detail
• Understand industry and company-wide trends to assess and develop new technologies
• Partner and collaborate with organization leaders to improve team and organizational performance
• Identify new opportunities for the organization and influence the appropriate stakeholders for staffing and prioritization
• Suggest, collect, and synthesize requirements to 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)

Required Qualifications

• Experience leading projects with industry-wide impact
• Experience communicating and working across functions to drive solutions
• Experience in mentoring and influencing engineers across organizations
• Proven track record of planning multi-year roadmaps where short-term projects align with a long-term vision
• Experience driving large cross-functional and industry-wide engineering efforts
• 12+ years of experience in programming languages (Python, C++, Java, or R) with a strong technical background
• 8+ years of experience in one or more areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience

Preferred Qualifications

• Experience shipping products to millions of customers or launching a new product line
• Experience with Hadoop ecosystem tools (Hadoop Base, Pig, Map Reduce, Sawzall, Bigtable, Hive, Spark)
• Experience in one or more areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence

Benefits & Perks

• Compensation: $219,000/year to $301,000/year + bonus + equity + benefits