> Markdown version of [/jobs/ext/4686774-ai-specialist-vr](https://www.wearedevelopers.com/jobs/ext/4686774-ai-specialist-vr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Specialist - VR - **Company:** Facebook Inc. - **Location:** Redmond, WA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), PHP (Programming Language), Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Computer Engineering, Data Mining, Perl (Programming Language), Information Retrieval, Python (Programming Language), Machine Learning, Multiprocessing, Natural Language Processing, Pattern Recognition, Recommender Systems, Signal Processing, Reinforcement Learning, Deep Learning, Information Technology - **Published:** November 12, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28178753/Ai-Specialist-Vr-Washington-Redmond-7418 ## About the Role * 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 ## Description * 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