Currently tracking 108 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Agent · Research.
| Title | Stage | AI score |
|---|---|---|
| AI Research Scientist, CoreML - Monetization AI Meta's Monetization Ranking AI Research team is seeking AI Research Scientists to advance AI/ML for personalized ads, focusing on ranking, retrieval, model architecture, and optimization. The role involves developing and implementing large-scale models, generative solutions, RL techniques, and causal learning, with a strong emphasis on research and publications in top-tier AI conferences, and taking ideas from research to production. | Post-trainData | 9 |
| Research Engineer, MRS AI Research Engineer role focused on building Meta's User Intelligence Engine for the Recommendation System, integrating Generative AI/LLMs with ranking expertise to deliver personalized experiences. Responsibilities include developing large-scale model architectures, leveraging transfer learning, optimizing training scalability, applying sequence learning, designing generative modeling for data augmentation, and deploying ML pipelines. Requires a Bachelor's degree in a relevant field, ML/deep learning/recommender systems experience, Python/PyTorch proficiency, and exposure to large-scale software patterns. Preferred qualifications include a Master's/PhD, publication record, generative AI/LLM/RecSys experience, and experience with large-scale ML model development. |
| ShipData |
| 8 |
| 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 |
| Research Scientist Research Scientist at Meta focused on developing and implementing novel quantitative and machine learning methods to answer product questions and generate insights. The role involves working with large datasets, applying advanced ML techniques like Bayesian modeling, reinforcement learning, and causal inference, and optimizing neural network models. The scientist will also draft software from scratch to implement these methods and collaborate with cross-functional teams. | Post-train | 8 |
| Research Engineer, Monetization AI Research Engineer focused on advancing AI, ML, and RecSys technologies for personalized ads, aiming to maximize user utility and advertiser value. The role involves developing and implementing large-scale model architectures, sequence learning techniques, and generative modeling solutions for data augmentation, with a focus on integrating these into production systems that drive significant revenue. | ShipPost-train | 8 |
| Research Scientist Intern, AI/ML, Core Ads Growth (PhD) Meta is seeking a PhD intern to work on machine learning systems and models for their Core Ads Growth team. The intern will develop scalable classifiers and tools, adapt ML methods for parallel environments, and contribute to building ML systems for Meta's products. The role involves research and development in areas like deep learning, NLP, recommendation systems, and computer vision. | Post-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 |
| Audio Research Scientist Intern Research Scientist Intern role focused on audio and hearing science, involving the design and analysis of audiologic experiments, development of novel algorithms for speech enhancement and hearing assistance, and collaboration with researchers. Requires a PhD in a related field and experience in experimental design, programming, and signal processing. | Post-train | 7 |
| Research Scientist Research Scientist at Meta focused on developing and implementing optimization algorithms, large-scale distributed systems, and machine learning models for various platforms. The role involves data analysis, system engineering, and creating tools for data migration and product development. | Post-train | 7 |
| Applied Research Scientist, Computational Mathematics, Physics, & Controls Applied Research Scientist role focused on developing large-scale physics simulation software for robotics and embodied AI applications, involving computational mathematics, physics simulations, and controls for embodied agents. Requires C++ and high-performance computing experience. | Agent | 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 |
| Research Scientist Intern, Optical System Design (PhD) Research Scientist Intern focused on optical system design for AR/VR displays, involving advanced simulations and prototyping. The role requires collaboration, publication of research, and exploration of various optical fields. While AI skills are mentioned as a development area and for workflow optimization, the core craft is optical engineering, not AI model development. | — | 5 |
| Research Scientist Intern, Applied Vision and Image Quality (PhD) Research scientist intern focusing on evaluating image quality in augmented reality (AR) displays by pioneering foundational research into how quality is perceived in see-through displays. The role involves designing and conducting psychophysical experiments and collaborating with interdisciplinary teams. | — | 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 |
| Research Scientist Intern, Silicon Performance Architecture (PhD) Research intern focused on improving performance modeling and simulation methodologies for AR/MR silicon, with some exposure to integrating AI tools for workflow optimization and ethical AI practices. | — | 5 |
| Display Research Scientist Research Scientist role focused on long-term research (5+ year horizon) for future AI enabled AR devices, specifically in display technologies. The role involves identifying and solving fundamental problems in optical elements, collaborating cross-functionally, and exploring emerging optical technologies. Requires a PhD in a relevant technical field and significant experience in optical design, simulation, fabrication, or display technologies, with a track record of novel research and proficiency with AI tools for scientific research. | — | 0 |
| Research Scientist Intern, Applied Vision in Augmented Reality (PhD) Research scientist intern focusing on visual perception in augmented reality (AR) headsets, pioneering foundational research into the interaction between AR digital content and the real world. The role involves designing and conducting psychophysical experiments, developing new metrics of visual perception in AR, and building a research stream to quantify visual performance in AR hardware, directly informing AR display architectures. | — | 0 |