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Meta · 10 hours ago

AI Specialist - Product and Applied Research

United States

Full-time

Remote

Mid, Senior Level

Meta Platforms, Inc. (Meta) builds technologies that help people connect, find communities, and grow businesses. The AI Specialist - Product and Applied Research will develop scalable algorithms and work closely with engineering teams to enhance Meta's platforms using advanced machine learning techniques.

Computer Software

Comp. & Benefits

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

Qualification

Machine LearningDeep LearningNatural Language ProcessingPythonJavaC++Data MiningComputer VisionTeam CommunicationResearch PublicationProblem Solving

Required

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

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

PhD in Computer Science, Computer Engineering, or relevant technical field

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)