> Markdown version of [/jobs/ext/4717914-ai-engineer-specialist-vr-technical-leadership](https://www.wearedevelopers.com/jobs/ext/4717914-ai-engineer-specialist-vr-technical-leadership). 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 Engineer, Specialist - VR - (Technical Leadership) - **Company:** The Meta Game, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $219,000 - $301,000 - **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 14, 2026 - **Apply:** https://dejobs.org/x/x/1B1ECD04091C4AE29C1017CAFC4622D9/job/ ## About the Role Minimum Qualifications: 13. 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 14. Experience coding in one or more of the following: Java, C++, Perl, PHP, or Python, 15. Experience with large scale model training, implementing algorithms, and evaluating speech-based systems 16. 3+ years experience as an Applied AI Research Scientist or an Applied AI Research Engineer 17. Experience working and communicating cross functionally in a team environment 18. PhD in Computer Science, Computer Engineering, or relevant technical field 19. 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 20. Experience evaluating alternative technical solutions by analyzing tradeoffs in performance, cost, and maintainability to recommend a path forward 21. Experience taking ideas from research to production 22. First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) ## Description 1. Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies 2. Suggest, collect, and synthesize requirements and create effective feature roadmap 3. Code deliverables in tandem with the engineering team 4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU) 5. distributed clusters, multicore SMP, and GPU) 6. Perform specific responsibilities which vary by team 7. Research, design, and develop new algorithms and techniques to improve the efficiency and performance of Meta's platforms 8. Gather data for machine-learning training 9. train new ranking models and run experiments 10. Identify potential improvements in Meta's software and technology products 11. Research and present effects of current engineering efforts on Meta's market standing from an economic and game-theoretic point of view 12. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models