Meta Platforms, Inc. is looking to solve the problem of building the next evolution in social technology by moving beyond 2D screens toward immersive experiences like augmented and virtual reality, and to help build technologies that help people connect, find communities, and grow businesses.
Requirements
- Java or C++, Perl, PHP or Python
- 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
- 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 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
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
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)
- 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
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD in Computer Science, Computer Engineering, or relevant technical field
- Experience working and communicating cross functionally in a team environment
- Individual compensation is determined by skills, qualifications, experience, and location
- Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process
