Meta currently has 129 active AI-related job listings. The hiring is most concentrated in the application stage, representing 22% of the roles, followed closely by agents at 20% and pre-training at 16%. Research is the dominant function, with 63 roles, followed by Engineering with 52. The majority of these positions are located in the United States. Frequent tech tags include agent_orchestration, frontier_research, and multimodal. Over the last 30 days, Meta posted 18 new AI roles, a 31% decrease compared to the previous 30-day period.
Currently tracking 125 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Ship · Research.
Meta currently has 140 active AI-related roles in our index. The most common open titles are: Business Support Engineer (5), AI Research Scientist, Robotics (3), Business Engineer, Business AI (3), Software Engineer, Systems ML (3), AI Research Scientist, VLM (vision language models) (2). Most positions are in Engineering and Research.
Meta's active AI hiring is concentrated in: agents (24%), application (20%), serving infrastructure (16%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Meta is hiring AI talent in: United States (112 roles), United Kingdom (9 roles), France (7 roles), Singapore (6 roles).
Job postings at Meta most frequently mention: Machine Learning, Large Language Models (LLMs), Agentic Systems, Robotics, Generative AI.
In the past 30 days, Meta has posted 66 new AI-related roles. That is a +100% change versus the prior 30 days (33 → 66).
| Title | Stage | AI score |
|---|---|---|
| AI Research Scientist, Media Data Research - MSL FAIR AI Research Scientist focused on building the data foundation for Meta's advanced Large Language and Media Models. The role involves working with trillion-scale data, including organic and synthetic data generation, agent data, and frontier paradigms across pre-training, mid-training, and post-training stages. Expertise in multimodal data (image, video, agent) and collaboration with cross-functional teams are key. | DataPost-train | 10 |
| AI Research Scientist, Text Data Research - MSL FAIR AI Research Scientist focused on building the data foundation for Meta's advanced Large Language Models, contributing to data curation across pre-training, mid-training, and post-training stages, and exploring frontier paradigms for data at scale. | Data |
| 10 |
| Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs Research Engineers at Meta Superintelligence Labs (FAIR) are responsible for building the data foundation for advanced Large Language and Media Models. This includes data curation across pre-training, mid-training, and post-training stages, focusing on challenges at trillion-scale such as organic and synthetic data generation, agent data, and frontier paradigms. The role involves architecting scalable data systems, improving data velocity, and applying expertise in various data modalities and domains. | DataPost-train | 9 |
| AI Research Scientist, Media Data Research - MSL FAIR 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. | DataPost-train | 9 |
| Research Engineer, Media Data Research - MSL FAIR 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. | DataPost-train | 9 |
| Research Engineer, Text Data Research - MSL FAIR 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. | DataPost-train | 9 |
| Research Scientist Intern, Robotic Control Policy (PhD) 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. | DataPost-train | 9 |
| Research Scientist Intern, State Estimation for Dexterous Manipulation (PhD) Research Scientist Intern focused on representation learning for dexterous manipulation in robotics, developing latent space embeddings for object physical state and validating them through experiments. | Data | 8 |
| Visiting Researcher, FAIR (University Grad) Research role focused on defining and establishing foundational data quality standards, task methodologies, and validation frameworks for Computer Use Agent (CUA) data creation, upstream of AI model training. The role involves primary research to set 'gold standard' protocols for data governance and integrity. | Data | 8 |
| Machine Learning Engineer Machine Learning Engineer at Meta in Tel Aviv, focused on building the next generation financial identity platform using Graph foundation models and delivering ML applications for financial identity signals. | DataPost-train | 8 |
| Research Scientist Intern, Machine Perception for Input and Interaction (PhD) 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. | Data | 8 |
| Linguistic Engineer Linguistic Engineer focused on building datasets, pipelines, and models for ML applications within a multimodal assistant product. The role supports ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph components, requiring experience with data tools, pipelines, and analytics, as well as programming and text analysis. The position emphasizes multilingual dataset development and evaluation, with opportunities to collaborate directly with ML teams. | DataPost-train | 7 |
| Research Manager Research Manager at Meta focused on product-focused signal processing and sensor development for novel wearable devices and algorithms. The role involves leading a team of research scientists and engineers to create practical, non-invasive wearable devices using machine learning and statistical signal processing to understand user intent and action. Responsibilities include managing teams, collaborating with cross-functional groups (hardware, ML research/engineering), developing methodologies for signal simulation, improving ML models based on sensor limitations, and fostering a learning environment. | Data | 7 |
| Research Engineer, Computer Vision Research Engineer focused on computer vision for novel digital humans and avatars, involving ML pipeline development, data preprocessing, model development, deployment, and optimizations. Requires experience with Python, PyTorch, C++, and Linux environments, with a strong publication record in relevant conferences. | Data | 7 |
| Research Scientist, Wearables AI Research Scientist focused on developing novel wearable sensors and algorithms for neuromotor interfaces and AR systems, aiming to reduce latency between user intent and action. Responsibilities include defining sensor requirements, exploring new sensing architectures, building simulation tools, and simulating biophysical signals. | Data | 7 |
| Research Engineer Robotics (Operations) Meta Reality Labs Research is seeking an experienced Robotics Operations Engineer to scale their real-robot operations infrastructure. The role involves designing, building, and supporting robotic manipulation stations for data collection, policy deployment, and evaluation. This position bridges research and physical robot results, requiring the development of tools and processes to unblock researchers and scale operations across multiple sites. The role also involves integrating AI tools to optimize workflows and adhering to responsible AI practices. | DataAgent | 7 |
| Linguistic Engineer Meta's Reality Labs is seeking a Linguistic Engineer to build datasets, models, and knowledge for multimodal assistant products, focusing on ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The role requires experience in data tools, pipelines, analytics, and multilingual dataset development, with a focus on supporting ML systems. | DataPost-train | 7 |
| Research Engineer, Robotics Research Engineer to design and build a custom CUDA-based compute renderer for robotics, serving as the visual backbone for robot learning at scale. This role involves architecting and implementing a novel GPU rendering system, writing high-performance GPU kernels, and integrating rendering outputs into ML training pipelines. | Data | 7 |
| Postdoctoral Researcher, AI Verification, Separation Logic in Lean Research role focused on program verification using AI, specifically embedding Separation Logic into the Lean proof assistant. Responsibilities include conducting original research, automating proofs, developing evaluations, and collaborating on AI for machine learning algorithms and guardrails for AI agents. Requires a PhD, experience with Lean/Separation Logic, and a publication record in AI or Verification/PL venues. | Data | 7 |
| Director, Data Licensing Partnerships 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. | Data | 7 |
| Research Data Program Manager 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. | Data | 7 |
| Research Data Program Manager, MSL 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. | Data | 7 |
| Senior Data Engineer, Machine Learning 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 | 5 |
| Data Scientist, Small Business Group 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 | 5 |
| Data Scientist 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 | 5 |
| Data Scientist 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. | Data | 5 |
| Data Scientist 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 | 5 |
| Data Scientist 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. | Data | 5 |
| Research Scientist Intern, Applied Perception Science (PhD) 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 | 5 |
| Data Scientist 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 | 5 |
| Data Scientist 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. | Data | 5 |