Currently tracking 108 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Agent · Research.
| Title | Stage | AI score |
|---|---|---|
| Fundamental AI Researcher - FAIR Research role focused on advancing the state-of-the-art in AI, particularly in reasoning, alignment, and memory. The role involves fundamental and exploratory research, developing learning algorithms, and contributing to the scientific understanding of intelligence and advanced machine intelligence. | Pretrain | 10 |
| Research Scientist - FAIR Research Scientist role focused on Developmental AI (DevAI), aiming to build AI agents that learn autonomously from few samples of real-world data and interactions, similar to children. The role involves designing algorithms for robustness and sample efficiency, building datasets/simulators, and developing benchmarks. Emphasis on grounded language, communication, and multimodal modeling, with a goal of publishing groundbreaking papers and releasing open-source frameworks. The research intersects AI with the study of natural intelligence. |
| PretrainAgent |
| 10 |
| Research Engineer - FAIR, SGT Research Engineer role at Meta's FAIR focused on advancing large language models, involving research, engineering, optimization, and deployment of both product and frontier models. Requires innovation, execution of research, experimental design, implementation, evaluation, and collaboration with cross-functional teams. Experience in building LLM systems at scale and publications in top-tier venues are essential. | PretrainPost-train | 10 |
| AI Research Scientist, FAIR | Chercheur(se) en IA, FAIR Research Scientist role at Meta's FAIR team focusing on building world models from video for embodied and wearable agents, advancing research in self-supervised learning, predictive models, and model-based reinforcement learning. The role involves pushing the state of the art, publishing research, and developing efficient, scalable models. | Pretrain | 10 |
| Postdoctoral Researcher, Fundamental AI Research (PhD) Postdoctoral Researcher in Fundamental AI Research (FAIR) at Meta, focusing on cutting-edge research in AI/ML, deep learning, NLP, computer vision, and generative modeling, with a goal of understanding intelligence and achieving advanced machine intelligence. The role involves experimental design, code development, evaluations, publications, and contributing to Meta's product development. | Pretrain | 10 |
| AI Research Scientist - Meta Superintelligence Labs Research Scientist at Meta Superintelligence Labs focused on foundational modeling and advancing the state of the art in speech and audio LLMs, including contextual ASR, TTS, and speech-to-speech capabilities. Requires a strong publication record and experience with post-training and evaluation of LLMs, including RL techniques. | PretrainPost-train | 10 |
| AI Research Scientist, Computer Vision Research Scientist role focused on advancing AI, specifically in vision models, 3D reconstruction, and generation, with the goal of building spatial and physically-aware AI for future human-computer interaction paradigms. The role involves conducting research, building and optimizing models, and working with large datasets. | Pretrain | 10 |
| Research Scientist, FAIR Research Scientist at Meta's FAIR focusing on fundamental advancements in generative models and LLMs, including data efficiency and continual learning. The role involves research, engineering, and deployment for both product and frontier model efforts. | Pretrain | 10 |
| Research Scientist, FAIR SGT - Paris Research Scientist role at Meta's FAIR in Paris focusing on fundamental research in generative models and LLMs, including data efficiency and continual learning. The role involves innovation, leading research, experimental design, implementation, evaluation, and publication. | Pretrain | 10 |
| Research Scientist, AI, Formal and informal Reasoning Research Scientist at Meta's FAIR organization focusing on advancing LLM reasoning capabilities through reinforcement learning, synthetic data generation, and agentic techniques, with a specialization in formal and informal mathematical reasoning. The role involves leading research, contributing to experiments, publications, and open-sourcing efforts. | PretrainPost-train | 10 |
| AI Research Scientist, Audio-Visual Understanding, FAIR Research Scientist in FAIR focused on advancing AI science and developing technology towards superintelligence. The role involves developing joint audio-visual understanding systems, building and evaluating audiovisual language models for social interactions, and contributing to benchmarks. Requires a PhD and research experience in ML/AI, with a focus on computer vision, speech, and multimodal learning for embodied conversational agents. | PretrainPost-train | 10 |
| Research Scientist, AI Research (PhD) Research Scientist focused on deep learning for memory in neural networks, applicable to personalization, lifelong learning, and large contexts. The role involves advancing state-of-the-art in architecture and memory, collaborating globally, and requires a PhD with publications in ML/DL, robotics, LLMs, or computer vision, and strong Python/C++ skills with PyTorch/TensorFlow. | Pretrain | 10 |
| Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Research intern at Meta's FAIR focusing on fundamental AI research in language and multimodal foundations, aiming to make core algorithmic advances and apply them at scale. The role involves research in NLP, audio, speech, computer vision, ML, deep learning, and RL, with opportunities for publication. | PretrainPost-train | 10 |
| AI Research Scientist, VLM (vision language models) AI Research Scientist focused on Vision-Language Models (VLMs) at Meta, pushing the state-of-the-art in multimodal reasoning and generation. The role involves long-term research, experimental execution, publication, and potential application to Meta's products. Requires a PhD and strong publication record in relevant AI conferences. | PretrainPost-train | 10 |
| AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI Meta is seeking an AI Research Scientist to lead research and development of generative AI for video and multimodal understanding within their advertising pillar. The role focuses on creating foundation models for video generation, editing, audio generation, and visual search, with a strong emphasis on research publications and industry influence. | PretrainPost-train | 9 |
| Research Assistant (PhD) Meta's FAIR lab is seeking PhD candidates for 3-year fixed-term contracts to conduct fundamental AI research in areas like foundational models, LLMs, deep learning, computer vision, audio/speech, NLP, RL, and applied math. The work is expected to be open science and open source, with joint supervision from Meta and academic partners. | Pretrain | 9 |
| AI Research Engineer, FAIR Chemistry This role is for an AI Researcher focused on advancing the state-of-the-art in AI for chemistry and materials science, with a specific focus on modeling complex battery and electrolyte chemistries. The role involves fundamental and exploratory research, developing new datasets and models, and contributing to the understanding of intelligence and technology towards advanced machine intelligence. The researcher will publish their findings, open-source code, and enhance existing AI models for scientific applications. | Pretrain | 9 |
| AI Research Scientist, SysML - FAIR Research Engineer role focused on advancing the field of AI by making fundamental advances in systems and infrastructure for large-scale machine learning, with a focus on enabling distributed training, resource efficiency, and hardware-software co-design. The role involves cutting-edge research, publishing results, and impacting Meta's product development. | PretrainServe | 9 |
| Research Scientist Intern PhD, Applied Research Research Scientist Intern PhD, Applied Research at Meta, focusing on developing novel state-of-the-art generative AI algorithms and systems, advancing intelligent machine science, and applying research at scale. Requires a PhD in a relevant technical field and experience in machine learning, deep learning, computer vision, and/or NLP. | Pretrain | 9 |
| Research Scientist Intern, Monetization Generative AI - LLM (PhD) Meta is seeking a PhD Research Scientist Intern to advance AI research in areas like deep learning, NLP, speech, and computer vision, with a focus on Large Language Models and multimodal inputs. The intern will perform research, develop algorithms, analyze systems, and collaborate on projects with the potential for product application, aiming to publish research findings. | Pretrain | 9 |
| Research Scientist Intern, Optimization, Privacy and Inference (PhD) Research Scientist Intern role focused on optimization, privacy, and inference within Meta's Central Applied Science team. The internship involves improving Meta's products and infrastructure through scientific research, developing new methodologies, and potentially shipping advancements or authoring papers. Requires a PhD in a related technical field and expertise in empirical research and ML frameworks. | Pretrain | 8 |
