AI Research Scientist, New Grad - Agents & Reinforcement Learning Snowflake IncAI Research Scientist, New Grad - Agents & Reinforcement LearningBellevue, WA$176,000–$230,000 / yearYou''ll be working alongside researchers and engineers who are building the next generation of agentic infrastructure, with access to large-scale compute, real-world data challenges, and the shortest possible path from research idea to product impact. OUR IDEAL AI RESEARCH SCIENTIST WILL HAVE: PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience).
AI Research Scientist, CoreML - Monetization MetaAI Research Scientist, CoreML - MonetizationBellevue, WAExtracting meaningful signals from both 1st-party and 3rd-party data sources 2. Advancing representation learning 3. Scaling solutions to efficiently process hundreds of billions of data points 4. Driving continuous algorithmic innovation 5. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects-true moonshots-with the potential to redefine Meta's monetization strategies.
Senior Agentic AI Research Scientist Axon Enterprise IncSenior Agentic AI Research ScientistSeattle, WA$159,750–$255,600 / yearExperience contributing to large-scale ML and multimodal RAG systems including embeddings, indexing and vector search at scale, distributed training or inference workflows, evaluation and ranking optimization, agentic tool use, and grounding LLMs with external knowledge. PhD and 3+ years of experience in Computer Science or a related field with a focus on multimodal machine learning, large language models, video understanding, information retrieval, agentic reasoning or related technical fields.
AI Research Scientist, Video Generation and Post Training, FAIR MetaAI Research Scientist, Video Generation and Post Training, FAIRSeattle, WAProven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals, or conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV) 14. Demonstrated research and software engineering experience via internships, industry or academic work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub) 11.
AI Research Scientist, Robotics MetaAI Research Scientist, RoboticsRedmond, WAExperience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) 17.
Senior Quantum AI Research Scientist, Applied Research NVIDIASenior Quantum AI Research Scientist, Applied ResearchRedmond, WAYour research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers! What you'll be doing: + Design and architect AI/ML models-including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents-for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.
AI Research Scientist, VLM (vision language models) MetaAI Research Scientist, VLM (vision language models)Bellevue, WAPush state of the art in multimodal generative AI 2. Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants 3. Mentor and work with AI/ML engineers to find a path from research to production **Minimum Qualifications:** Minimum Qualifications: 4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.-
AI Research Scientist, New Grad – Agents & Reinforcement Learning SnowflakeAI Research Scientist, New Grad – Agents & Reinforcement LearningBellevue, WashingtonYou'll be working alongside researchers and engineers who are building the next generation of agentic infrastructure, with access to large-scale compute, real-world data challenges, and the shortest possible path from research idea to product impact. For a new grad role, this is a rare opportunity to grow your research career while contributing to systems that actually run in production — shaping how AI agents reason, learn, and improve themselves inside the world's leading data cloud.
AI Research Scientist II - Office of the CTO Allen Institute for Brain ScienceAI Research Scientist II - Office of the CTOSeattle, WA$167,800–$209,700 / yearCollaborate with software engineers to build state-of-the-art engineering infrastructure at the Allen Institute to support large scale AI/ML research and applications, such as methods for caching and processing petabyte scale data across multiple networked GPU nodes on cloud; this person will build a research grade large scale ML infrastructure that will be hardened by SWE. Develop and deploy large scale ML models that deepen our understanding of complex biological systems in health and disease by incorporating diverse biological datatypes, such as multi-omics data, microscopy data, in vivo and behavioral imaging data, electrophysiological data, and/or clinical data.
AI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & Distillation Apple IncAI Research Scientist: Multimodal Foundation Models - Architecture, Pre-Training & DistillationSeattle, WAThis includes designing architectures that distill effectively, studying how teacher and student models should be trained together, and developing distillation methods that preserve reasoning, multimodal understanding, instruction following, and other important capabilities under constrained model capacity. Experience with knowledge distillation, including offline or off-policy distillation, on-policy distillation, self-distillation, sequence-level distillation, logic matching, or representation transfer.
Senior Research Scientist, Superconducting Digital Electronics, Quantum AI Google LLCSenior Research Scientist, Superconducting Digital Electronics, Quantum AISeattle, WAYou will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. Design and simulate superconductor digital logic circuits (such as single flux quantum (SFQ) logic, adiabatic quantum flux parametron (AQFP) logic, and other emerging superconductor logic families) for generating waveforms tailored to qubit control and readout.
Staff Research Scientist, Exotic AI Snowflake IncStaff Research Scientist, Exotic AIBellevue, WA$236,000–$339,200 / yearAS A STAFF RESEARCH SCIENTIST, EXOTIC AI AT SNOWFLAKE, YOU WILL: Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures). BONUS POINTS FOR THE FOLLOWING: Experience with latent dynamics modeling, model-based RL, or physics-informed neural networks (GraphCast, FourCastNet, AlphaFold-style architectures).
Research Scientist - Technologies of Data Management, LLM and AI Agents - Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - Technologies of Data Management, LLM and AI Agents - Global Tech Research Program - 2027 Start (PhD)Seattle, WAThis topic conducts systematic research across the entire AI infrastructure stack: Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability. Data Center Power Scheduling: Research GPU/CPU/MEM heterogeneous collaborative scheduling technologies, build a heterogeneous power orchestration system for AI agents, and address scheduling challenges including heterogenous workloads and state dependencies.
Staff Research Scientist, AI Agents & LLMs Snowflake IncStaff Research Scientist, AI Agents & LLMsBellevue, WA$236,000–$339,200 / yearAt the intersection of autonomous agents and large language models (LLMs), you will build the models and systems that turn enterprise data into self-directed, decision-making agents-shifting from passive data access to autonomous execution. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
NewMachine Learning Research Scientist Intern (Seed AI for Science - Atomistic AI) - 2027 Start (PhD) Beijing ByteDance Technology Co LtdMachine Learning Research Scientist Intern (Seed AI for Science - Atomistic AI) - 2027 Start (PhD)Seattle, WAMeets at least one of the following criteria: Familiar with quantum chemistry algorithms, with experience in developing or using DFT/Post-HF computational tools or algorithmsFamiliar with molecular dynamics engine development, with experience modifying the source code of LAMMPS or OpenMMFamiliar with machine learning algorithms, with hands-on experience in at least one of the following areas: LLMs, reinforcement learning, agents, or generative modelsFamiliar with solid-state physics, with hands-on experience in materials simulation and MLIP developmentFamiliar with statistical mechanics and enhanced sampling algorithms, with strong domain knowledge and development capability. About the Team: The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
NewMultimodal Generative AI Research Scientist (Intelligent Creation) - Global Frontier Tech Recruitment Program - 2027 Start (PhD) TikTok IncMultimodal Generative AI Research Scientist (Intelligent Creation) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)Seattle, WAHands-on experience in at least one of the following areas: Image/video generation and editing; VLM/LLM fine-tuning; Efficient model design and optimization; Reinforcement learning methods (e.g., RLHF, DPO, GRPO). The role also involves designing efficient model architectures and advancing reinforcement learning techniques to improve model capability, scalability, and real-world performance in creation scenarios.
Research Scientist - AI Compute & DPU - Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - AI Compute & DPU - Global Tech Research Program - 2027 Start (PhD)Seattle, WADeep expertise in frontier areas such as large-scale model training and inference, heterogeneous computing optimization across GPUs/DPUs/accelerators, software-hardware co-design (e.g., FPGA/ASIC) across networking/storage/distributed compute, or high-performance networking (e.g., RDMA, NCCL, DPDK/SPDK) with hands-on experience in network virtualization (OVS, SR-IOV, eBPF). This topic conducts systematic research across the entire AI infrastructure stack: Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability.
Staff Research Scientist, Exotic AI SnowflakeStaff Research Scientist, Exotic AIBellevue, WashingtonDesign and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures). We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Research Scientist - Compute AI Infra Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - Compute AI Infra Global Tech Research Program - 2027 Start (PhD)Seattle, WAThis topic conducts systematic research across the entire AI infrastructure stack: Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability. Vector Retrieval: Optimize core vector retrieval technologies for LLM-powered applications, building a cloud-native distributed vector index engine to meet ultra-large-scale vector retrieval demands with low latency and low cost.
Senior Research Scientist, Superconducting Digital Electronics, Quantum AI GoogleSenior Research Scientist, Superconducting Digital Electronics, Quantum AISeattle, WAYou will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. Senior Research Scientist, Superconducting Digital Electronics, Quantum AI _corporate_fare_ Google _place_ Cambridge, MA, USA; Mountain View, CA, USA; +5 more; +4 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.