About the job
Develop highly scalable algorithms based on state-of-the-art machine learning and neutral network methodologies
Responsibilities
Develop highly scalable algorithms based on state-of-the-art machine learning and neutral 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)
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 company'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
Minimum
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
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
Java or C++, Perl, PHP or Python
Preferred
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 with large scale model training, implementing algorithms, and evaluating speech-based systems
Experience taking ideas from research to production
Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
Experience working and communicating cross functionally in a team environment
First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)