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.

Meta is seeking a Senior Data Engineer specializing in Machine Learning to design, build, and optimize data warehousing and data pipelines. This role will focus on enhancing ML data infrastructure, supporting feed recommendations and ranking systems, and collaborating with ML engineers to develop analytics tools. The position requires a Master's degree and experience in data modeling, ETL, big data technologies, and data privacy.

Data Scientist role focused on leveraging structured data to understand customer interactions, identify product improvement opportunities, and design/execute experiments. Involves data processing, modeling, and influencing strategic decisions through data analysis and communication.

Data Scientist role at Meta focused on building machine learning systems for user behavior analysis and powering production systems. Requires a Master's degree and experience in ML techniques, scripting languages, statistical analysis, large-scale data processing, and quantitative analysis.

Data Scientist role at Meta focused on quantitative analysis, data mining, and building models of user behavior to inform product decisions and power production systems. Requires a PhD and practical experience in experimental design, data analysis, and applying ML/AI techniques.

Meta is seeking a Data Scientist to apply expertise in quantitative analysis, data mining, and data presentation to understand user interactions with their products. The role involves mining large datasets, performing large-scale data analysis, developing data pipelines with automated machine-learning systems, building models of user behaviors, and partnering with Product and Engineering teams to solve problems and identify trends. The Data Scientist will also design and implement dashboards and reports, and inform product decisions through effective communication of results.

Data Scientist at Meta focused on analyzing user data to inform product development and identify trends. Responsibilities include data interpretation, quantitative analysis, and partnering with product and engineering teams. Requires a Master's degree and 4 years of experience in data management, ML, user engagement, and experimentation.

Research Scientist Intern focused on human visual perception and AR display technology, aiming to improve user experience and accessibility by defining and implementing perceptual models for chromatic contrast. The role involves experimental design, translating research into practical guidance, and collaborating across disciplines. It also emphasizes integrating AI tools for workflow optimization and adhering to ethical AI practices.

Data Scientist role at Meta focused on building machine learning systems and models for user behavior analysis and production systems. Responsibilities include data mining, quantitative analysis, developing data pipelines, and partnering with product and engineering teams. Requires a Bachelor's degree and experience with SQL, Python, statistical software, A/B testing, machine learning, ETL, and large-scale data processing.

Data Scientist role at Meta focused on building machine learning systems and models for user behavior analysis and production systems, working with large datasets and partnering with product and engineering teams.