Job Description

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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.

Responsibilities

Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies

• Suggest, collect, and synthesize requirements and create effective feature roadmap
• Code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
• distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team
• Research, design, and develop new algorithms and techniques to improve the efficiency and performance of Meta's platforms
• Gather data for machine-learning training; train new ranking models and run experiments
• Identify potential improvements in Meta's software and technology products
• Research and present effects of current engineering efforts on Meta's market standing from an economic and game-theoretic point of view
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

• Experience with research and/or work in machine learning, NLP, reinforcement learning, deep learning, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
• Experience coding in one or more of the following: Java, C++, Perl, PHP, or Python PhD in Computer Science, Computer Engineering, or relevant technical field
• First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
• Experience working and communicating cross functionally in a team environment
• Experience with large scale model training, implementing algorithms, and evaluating speech-based systems
• 3+ years experience as an Applied AI Research Scientist or an Applied AI Research Engineer
• Experience taking ideas from research to production
• Experience with developing scalable machine learning models in at least one of the following areas: Crawling, indexing, extraction, retrieval, ranking, recommendations, measurement, tooling, evaluation, query understanding, planning, vector databases, or embeddings
• Experience evaluating alternative technical solutions by analyzing tradeoffs in performance, cost, and maintainability to recommend a path forward