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# AI Engineer, Specialist - VR - (Technical Leadership)

- **Company:** Facebook Inc.
- **Location:** Redmond, WA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), PHP (Programming Language), Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), 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
- **Published:** November 13, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28182182/Ai-Engineer-Specialist-Vr-Technical-Leadership-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, * Experience with large scale model training, implementing algorithms, and evaluating speech-based systems
 * Experience working and communicating cross functionally in a team environment
 * 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
 * Experience taking ideas from research to production

## 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