NewPrincipal Applied Scientist - CoreAI MicrosoftPrincipal Applied Scientist - CoreAIRedmond, WA$142,800–$274,800 / yearBachelors Degree in Computer Science, Computational Linguistics, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Computer Science, Computational Linguistics or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research). There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
NewPrincipal Applied Scientist MicrosoftPrincipal Applied ScientistRedmond, WA$142,800–$274,800 / yearPublications at top conferences like ACL (Association for Computational Linguistics), EMNLP (Empirical Methods in Natural Language Processing), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), WSDM (Web Search and Data Mining), COLING (International Conference on Computational Linguistics), WWW (World Wide Web Conference), NIPS (Neural Information Processing Systems), ICASSP (International Conference on Acoustics, Speech, and Signal Processing), etc. Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research).
Staff Data Scientist VisaStaff Data ScientistBellevue, WA$145,300–$232,700 / yearVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Visa’s Post Purchase organization is building AI-driven decision intelligence across dispute resolution and recovery products, including RDR, CDRN, VDRN, and Recover.
NewSenior Product Manager JobotSenior Product ManagerSeattle, WA$80–$90 / hourInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. The team blends healthcare expertise, data science, and thoughtful product design to build tools that meaningfully improve everyday health outcomes at scale.
AI Research Scientist - AI BioDesign Allen InstituteAI Research Scientist - AI BioDesignSeattle, WA$146,600–$183,250 / yearRather than primarily applying established techniques, this role focuses on methodological innovation – designing, testing, and refining new AI/ML models that operate across diverse and large-scale biological data, and translating complex scientific questions into computational frameworks. Working closely with scientists and engineers, the AI Research Scientist evaluates model performance, limitations, and scientific relevance, and contributes to the broader scientific community through publications, benchmarks, and reusable methods.
AI Research Scientist - Agentic AI for Materials Discovery Meta Platforms IncAI Research Scientist - Agentic AI for Materials DiscoveryRedmond, WADesign, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines Build specialized AI sub-agents that operate within a closed-loop discovery framework Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures Evaluate and benchmark agent performance on materials discovery tasks - measuring accuracy, throughput, and synthetic viability of generated candidates Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration) Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar) Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics Experience building multi-agent or LLM-orchestrated systems for scientific applications Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries Publications at peer-reviewed ML or domain conferences Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows Experience with HPC job orchestrationMeta builds technologies that help people connect, find communities, and grow businesses. This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics.
Senior Quantum AI Research Scientist, Applied Research NVIDIASenior Quantum AI Research Scientist, Applied ResearchRedmond, WashingtonYour 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! 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.
Staff AI research scientist Writer IncStaff AI research scientistSeattle, WAThe instincts and orientation that match WRITERs values: you Connect - you collaborate openly across research, engineering, and product and communicate complex ideas with clarity to both technical and non-technical audiences; you Challenge - you ask the hard questions, push back on conventional wisdom, and pursue the research directions others havent tried yet; you Own - you drive your projects end-to-end with urgency, take accountability for results, and care deeply about the impact your work has on real customers. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and were looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
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.
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.
AI Research Scientist Allen Institute for Brain ScienceAI Research ScientistSeattle, WA$146,600–$183,250 / yearRather than primarily applying established techniques, this role focuses on methodological innovation designing, testing, and refining new AI/ML models that operate across diverse and large-scale biological data, and translating complex scientific questions into computational frameworks. Working closely with scientists and engineers, the AI Research Scientist evaluates model performance, limitations, and scientific relevance, and contributes to the broader scientific community through publications, benchmarks, and reusable methods.
Machine 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.
Senior Agentic AI Research Scientist AxonSenior 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.
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.
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.
AI Research Scientist II AxonAI Research Scientist IISeattle, WA$139,500–$223,200 / yearPhD (or equivalent research experience) plus at least 1 year industry experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
AI Research Scientist, Video Generation and Post Training, FAIR Meta Platforms IncAI Research Scientist, Video Generation and Post Training, FAIRSeattle, WAPeople who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities.
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 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, 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.