AI Research Scientist focused on building the data foundation for Meta's advanced Large Language and Media Models. The role involves data curation across pre-training, mid-training, and post-training stages, handling trillion-scale data challenges including organic and synthetic data generation, and contributing to frontier paradigms. Collaboration with cross-functional teams and leading complex technical projects are key.

Research Engineer role focused on building data foundations for Meta's advanced LLMs and LMMs, contributing to data curation across pre-training, mid-training, and post-training stages for various modalities. The role involves architecting scalable data systems, generating synthetic data, and working with trillion-scale datasets.

Meta is seeking AI research engineers to build the data foundation for their advanced LLMs. The role involves working with large-scale data across pre-training, mid-training, and post-training stages, focusing on areas like organic data curation, synthetic data generation, agent data, and frontier paradigms. This position is within Meta Superintelligence Labs (MSL) within FAIR, contributing to models like Llama.

Research Scientist Intern focused on developing ML-powered robotic control policies for manipulation and teleoperation, involving data collection, training models (RL, IL, LBMs), and benchmarking algorithms.

Research Scientist Intern at Meta's Reality Labs focusing on machine perception for virtual and augmented reality. The role involves developing algorithms for computer vision, machine learning, and sensor fusion for tracking, action recognition, and 3D representation, with a focus on efficient deep learning and real-time applications.

Director of Data Licensing Partnerships responsible for sourcing, negotiating, and managing data licensing partnerships to enable Meta's AI and product innovation. This role involves defining strategy, securing partnerships, managing relationships with data providers and labeling partners, leading commercial and technical negotiations, and ensuring compliance. The role requires leading a global team and working closely with AI, Product, Legal, and Engineering teams to integrate partner data assets for AI and product development.

Meta's SuperIntelligence Lab is seeking a Research Data Program Manager to lead human data annotation programs for ML research and model development. The role involves partnering with researchers, product, and engineering teams to create high-quality datasets, manage external vendors, and build scalable processes and quality programs. The ideal candidate will have strong program management skills, technical fluency, and experience with various data types and annotation tooling.

Meta SuperIntelligence Lab is seeking a Research Data Program Manager to lead human data annotation programs for ML research and model development. The role involves partnering with researchers, product, and engineering teams to translate research needs into high-quality datasets, manage external vendors, and build scalable processes and quality metrics. The ideal candidate will have strong program management experience, technical fluency, and familiarity with various data types and workflows including RLHF, multimodal, and safety labeling.