INSPYR SolutionsQuantitative Researcher INSPYR SolutionsQuantitative ResearcherMenlo Park, CA$50–$70 / hourDesign & conduct research to guide the development of novel AI glasses user experiences, with a focus on speech communication and human-AI interaction, leveraging primarily quantitative UX research approaches and tools such as lab-based experimentation, statistical analysis, and surveys, supplemented by qualitative methods as needed. By joining our team, you will have the opportunity to work on breakthrough technologies that redefine how people connect and communicate, collaborate with world-class researchers and engineers in a fast-paced, mission-driven environment, and shape the future of AI wearables and superhuman audio experiences.
Ursus, Inc.NewUX/Consumer Insights Researcher IV Ursus, Inc.UX/Consumer Insights Researcher IVBurlingame, CARemote$80–$90 / hourUnlike traditional UXR roles focused on software usability, this position offers exposure to the full consumer journey—from understanding purchase drivers and shopping behavior to exploring how people integrate wearable devices into their daily lives. The work is more consumer insights–focused than traditional UXR, requiring a researcher who can run surveys, understand consumer insight methodologies, and apply qualitative methods in the field.
INSPYR SolutionsNewUX Researcher INSPYR SolutionsUX ResearcherBurlingame, CA$50–$80 / hourInformation collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. Education/Experience: • BA/BS in a human behavior related field, such as human-computer interaction, psychology, sociology, communication, information science, media studies or computer science.
Google LLCQuantitative UX Researcher, Search Google LLCQuantitative UX Researcher, SearchMountain View, CAGoogle User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers who care deeply about the people who use our products. Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
Lawrence Livermore National LaboratorySpace Hardware - Postdoctoral Researcher Lawrence Livermore National LaboratorySpace Hardware - Postdoctoral ResearcherLivermore, CA$122,028–$143,328 / yearYou will contribute to cutting edge research focused on developing the next generation of large aperture space telescopes and optical payloads, with an emphasis on precision mechanisms, optomechanical design, and integration of optical systems into spacecraft. Perform optomechanical design of telescope subsystems, including mirrors, lenses, mounts, alignment features, and supporting structures, with attention to thermos-mechanical stability, vibration, and launch survivability.
Google LLCStudent Researcher, 2026 Google LLCStudent Researcher, 2026Mountain View, CAWhether we"re shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people. When you apply, you will be considered for Student Researcher positions across all of Google"s research teams - including Google DeepMind, Google Research, Google Cloud and more.
Stanford UniversityIRiSS Predoctoral Researcher Stanford UniversityIRiSS Predoctoral ResearcherStanford, CAIn this era of burgeoning social-science research, the Stanford Institute for Research in the Social Sciences (IRiSS) facilitates first-rate interdisciplinary collaborations, trains the next generation of scholars, and incubates medium- to long-term research projects to address critical social challenges. The Predoctoral Researchers Program at the Stanford Institute for Research in the Social Sciences (IRiSS) aims to expand research capacity in the social sciences, and strengthen the pool of scholars, while providing opportunities through mentorship of new research scholars.
JPMorgan Chase & CoApplied AI ML Researcher Director JPMorgan Chase & CoApplied AI ML Researcher DirectorPalo Alto, CAJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. As an Applied AI ML Researcher Director in the Applied AI Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
Lawrence Livermore National LaboratoryMachine Learning - Postdoctoral Researcher Lawrence Livermore National LaboratoryMachine Learning - Postdoctoral ResearcherLivermore, CAExperience developing, implementing and applying advanced statistical or machine learning models and algorithms using modern software libraries such as PyTorch, TensorFlow, or similar as evidence through medium to large scale deep learning models and experiments. Demonstrated ability and desire to obtain substantial domain knowledge in fields of application to enable effective communication with subject matter experts, and to identify novel, impactful applications of machine learning.
Netflix IncSenior Researcher, Product Experience Netflix IncSenior Researcher, Product ExperienceLos Gatos, CA$294,000–$470,000 / yearPartner with cross-functional teams at the intersection of Product and Content, including Product Innovation, Design, Data Science, Engineering, Content Strategy, Product Marketing, and Communications to proactively develop research initiatives. About you: At least 7+ years of demonstrable experience in product research and/or user experience (UX) research, with particular expertise designing and leading end-to-end mixed method (qualitative and quantitative) research studies.
Lawrence Livermore National LaboratoryUncertainty Quantification for Surrogate Models Postdoctoral Researcher Lawrence Livermore National LaboratoryUncertainty Quantification for Surrogate Models Postdoctoral ResearcherLivermore, CAAn employees position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Our mission spans four critical national security areas: nuclear deterrence, threat preparedness, energy security, and multi-domain defense, empowering teams to take on the toughest challenges of today and tomorrow.
Lawrence Livermore National LaboratoryDislocation Analysis Computational Materials Science - Postdoctoral Researcher Lawrence Livermore National LaboratoryDislocation Analysis Computational Materials Science - Postdoctoral ResearcherLivermore, CAThis role includes performing simulations of dislocation networks under various conditions, developing models of X-ray scattering associated with these microstructures, and developing new methods to quantitatively interpret experimental data. You will be an integral member of an interdisciplinary team responsible for conducting and supporting research to model and simulate interactions between high-energy X-rays and crystalline defects in advanced metallic alloy materials.
Lawrence Livermore National LaboratoryLaser Postdoctoral Researcher - Advanced Photon Technologies Lawrence Livermore National LaboratoryLaser Postdoctoral Researcher - Advanced Photon TechnologiesLivermore, CAWe have multiple openings for Laser Postdoctoral Researcher in Advanced Photon Technologies (APT) to participate in the research and development of advanced solid-state laser technology, ultra-fast solid-state lasers, high peak power lasers, high average power lasers, and high energy / high intensity short pulse lasers. APT specializes in developing high repetition rate long- and short-pulsed laser systems, like the High-repetition-rate Advanced Petawatt Laser System, and high repetition rate high energy nanosecond pulsed diode-pumped solid-state lasers for EUV generation and Inertial Fusion Energy, as well as associated innovative component demonstrations.
Lawrence Livermore National LaboratoryAtmospheric Sciences - Postdoctoral Researcher Lawrence Livermore National LaboratoryAtmospheric Sciences - Postdoctoral ResearcherLivermore, CAWe have an opening for an Atmospheric Science-Postdoctoral Researcher to work in the areas of clouds and precipitation with the goal of improving performance of global storm resolving models through evaluation and diagnosis using Department of Energy Atmospheric Radiation Measurement program observations. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow.
Lawrence Livermore National LaboratoryMesoscale Modeling - Postdoctoral Researcher Lawrence Livermore National LaboratoryMesoscale Modeling - Postdoctoral ResearcherLivermore, CAYou will be part of an interdisciplinary team of computational and experimental materials scientists utilizing world class computational and experimental research facilities to study the surfaces, interfaces, and microstructures of materials for structural and/or energy applications. This role will actively participate in the research and development of mesoscale computational models and codes for investigating mechanisms and simulating coupled interfacial processes in materials, including metals and metal oxides.
Lawrence Livermore National LaboratoryExperimental Dynamic Materials - Postdoctoral Researcher Lawrence Livermore National LaboratoryExperimental Dynamic Materials - Postdoctoral ResearcherLivermore, CAOur mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. An employee''s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Lawrence Livermore National LaboratoryDesign Optimization Engineer - Postdoctoral Researcher Lawrence Livermore National LaboratoryDesign Optimization Engineer - Postdoctoral ResearcherLivermore, CA$122,028–$143,328 / yearExperience simulating and designing systems that involve complex nonlinear, transient, multiphysics models; proficient in nonlinear solvers, and linear algebra concepts for solving challenging linear systems. Develop and implement high-performance computing (HPC) algorithms for the simulation and design optimization of systems governed by nonlinear, transient, multiscale and multiple physical phenomena, including uncertainties in geometry and material properties.
Lawrence Livermore National LaboratoryOperations Research Postdoctoral Researcher Lawrence Livermore National LaboratoryOperations Research Postdoctoral ResearcherLivermore, CA$122,028–$143,328 / yearDevelop and extend mathematical programming (e.g., mixed-integer programming, nonlinear programming, and mixed-integer nonlinear programming) formulations of core critical infrastructure operations and planning optimization models. You will be an integral part of a multi-disciplinary team of researchers, with skill sets ranging from computer and climate science to power and industrial engineering; projects are typically collaborative with partner academic institutions and other national labs.
Lawrence Livermore National LaboratorySenior Cybersecurity Researcher Lawrence Livermore National LaboratorySenior Cybersecurity ResearcherLivermore, CA$175,530–$267,060 / yearExpert level experience in one or more of the following areas: mixed-integer programming, branch-bound-and-cut algorithms, branch-and-price algorithms, strong (polynomial- or exponential-sized) formulations and separation, parallel/distributed mathematical optimization techniques, electric energy systems operations and planning, optimization techniques or other relevant areas of mathematical optimization or electric systems. Advanced experience in one or more of the following areas: mixed-integer programming, branch-bound-and-cut algorithms, branch-and-price algorithms, strong (polynomial- or exponential-sized) formulations and separation, parallel/distributed mathematical optimization techniques, electric energy systems operations and planning, or related relevant areas.
Lawrence Livermore National LaboratoryNewLaser Material Interaction Science - Postdoctoral Researcher Lawrence Livermore National LaboratoryLaser Material Interaction Science - Postdoctoral ResearcherLivermore, CAWe have an opening for a Postdoctoral Researcher to conduct research in laser-material interactions, with an emphasis on high-sensitivity optical microscopy capabilities, including multimodal characterization, generation and application of quantum-entangled photons, gas detection using Raman spectroscopy and/or absorption-based measurements, and materials characterization. Experience in one or more of the following areas: laser-material interactions, optical microscopy, quantum imaging or spectroscopy, Raman spectroscopy, absorption-based sensing, and/or laser-based materials characterization methods such as time-resolved PL or pump-probe measurements.
JPMorgan Chase & CoNewApplied AI ML Researcher Lead JPMorgan Chase & CoApplied AI ML Researcher LeadPalo Alto, CAAs an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within the Applied AI Research team in Commercial and Investment Banking, you will help build autonomous agent systems that can reason, plan, act, and learn to solve high-impact business problems. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
Tailored ManagementNewUX Researcher IV Tailored ManagementUX Researcher IVBurlingame, CA$1–$1 / hourTech client is seeking a Temporary UX/Consumer Insights Researcher to support product and user experience research efforts through well-scoped, time-bound project work. Must Have Skills:Survey design and analysis with mixed-method research experience (quant-leaning); comfort with focus groups, interviews, and field work.
Capital One Financial CorpApplied Researcher II (AI Foundations, LLM Core and Agentic AI) Capital One Financial CorpApplied Researcher II (AI Foundations, LLM Core and Agentic AI)San Jose, CA$257,300–$293,700 / yeartechnical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users. Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: • Model Sparsification • Quantization • Training Parallelism/Partitioning Design • Gradient Checkpointing • Model Compression • Experience optimizing training for a 10B+ model • Deep knowledge of deep learning algorithmic and/or optimizer design • Experience with compiler design.
Capital One Financial CorpApplied Researcher I (AI Foundations) Capital One Financial CorpApplied Researcher I (AI Foundations)San Jose, CA$218,700–$249,600 / yeartechnical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research.
Capital One Financial CorpApplied Researcher I Capital One Financial CorpApplied Researcher ISan Jose, CA$218,700–$249,600 / yearOptimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I.
Capital One Financial CorpApplied Researcher II (AI Foundations) Capital One Financial CorpApplied Researcher II (AI Foundations)San Jose, CA$262,500–$299,600 / yearBasic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II.
Capital One Financial CorpApplied Researcher II Capital One Financial CorpApplied Researcher IISan Jose, CA$262,500–$299,600 / yeartechnical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users. Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design.
Capital One Financial CorpDistinguished Applied Researcher Capital One Financial CorpDistinguished Applied ResearcherSan Jose, CA$278,400–$317,700 / yearPreferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields • LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs • Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) • Has worked on an LLM (open source or commercial) that is currently available for use • Demonstrated ability to guide the technical direction of a large-scale model training team • Experience with common training optimization frameworks (deep speed, nemo) • Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs.
Capital One Financial CorpApplied Researcher I (AI Foundations, LLM Core and Agentic AI) Capital One Financial CorpApplied Researcher I (AI Foundations, LLM Core and Agentic AI)San Jose, CA$218,700–$249,600 / yeartechnical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research.
Capital One Financial CorpApplied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Capital One Financial CorpApplied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)San Jose, CA$218,700–$249,600 / yearCambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research.
Articul8Staff Applied AI Researcher - Agentic Reasoning Systems (Brazil) Articul8Staff Applied AI Researcher - Agentic Reasoning Systems (Brazil)Dublin, CaliforniaGo broad: unify perception, retrieval, reasoning, and action — build repeatable methodology for composing domain-specific models, data perception systems, knowledge graphs, retrieval layers, and external tools into coherent agentic workflows, delegating integration testing and cross-modal benchmarking to parallel agent systems so you can reason across the full stack simultaneously. Go deep: advance the science of autonomous reasoning — design, train, and refine the learned components behind runtime decisioning (routing models, verification models, confidence estimators, reward models, policy selectors), using massively parallel agent-driven experiment pipelines to explore architectural and algorithmic frontiers exhaustively.
Articul8Senior Applied AI Researcher (Dublin, CA) Articul8Senior Applied AI Researcher (Dublin, CA)Dublin, CaliforniaGo broad: span modalities, methods, and domains simultaneously — design and train multimodal systems (text, images, tables, charts, technical documents), knowledge graph pipelines, hybrid retrieval architectures, and structured reasoning systems, delegating exploration and prototyping across these fronts to parallel agent workflows so you can synthesize cross-cutting insights in real time. Own and orchestrate end-to-end research programs using massively parallel agentic AI — from problem formulation through production deployment, designing agent-driven experiment campaigns that simultaneously explore model architectures, training regimes, data strategies, and evaluation criteria at a pace and breadth that redefines what a single researcher can accomplish.
Articul8Staff Applied AI Researcher - Agentic Reasoning Systems (India) Articul8Staff Applied AI Researcher - Agentic Reasoning Systems (India)Dublin, CaliforniaGo broad: unify perception, retrieval, reasoning, and action — build repeatable methodology for composing domain-specific models, data perception systems, knowledge graphs, retrieval layers, and external tools into coherent agentic workflows, delegating integration testing and cross-modal benchmarking to parallel agent systems so you can reason across the full stack simultaneously. Go deep: advance the science of autonomous reasoning — design, train, and refine the learned components behind runtime decisioning (routing models, verification models, confidence estimators, reward models, policy selectors), using massively parallel agent-driven experiment pipelines to explore architectural and algorithmic frontiers exhaustively.
Articul8Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA) Articul8Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA)Dublin, CaliforniaMaintain hands-on research impact at the highest level — sustain a meaningful personal research contribution through technical work, publications, patents, and externally visible output, modeling what it means to be a world-class researcher who uses massively parallel agentic systems to achieve what was previously impossible. Mentor senior researchers and raise the ceiling on human potential — coach Staff and Senior researchers on designing agent-augmented research programs, raise the bar on technical judgment and experimental rigor, and shape hiring for researchers who are driven to redefine what's possible.
Articul8Staff Applied AI Researcher - Agentic Reasoning Systems (Dublin, CA) Articul8Staff Applied AI Researcher - Agentic Reasoning Systems (Dublin, CA)Dublin, CaliforniaGo broad: unify perception, retrieval, reasoning, and action — build repeatable methodology for composing domain-specific models, data perception systems, knowledge graphs, retrieval layers, and external tools into coherent agentic workflows, delegating integration testing and cross-modal benchmarking to parallel agent systems so you can reason across the full stack simultaneously. Go deep: advance the science of autonomous reasoning — design, train, and refine the learned components behind runtime decisioning (routing models, verification models, confidence estimators, reward models, policy selectors), using massively parallel agent-driven experiment pipelines to explore architectural and algorithmic frontiers exhaustively.
Google LLCStudent Researcher, BS/MS, Winter/Summer 2026 Google LLCStudent Researcher, BS/MS, Winter/Summer 2026San Bruno, CA$92,000–$122,000 / yearMinimum qualificationsCurrently enrolled in a Bachelors or Masters degree in Computer Science Linguistics Statistics Biostatistics Applied Mathematics Operations Research Economics Natural Sciences or related technical field. Whether were shaping the future of sustainability optimizing algorithms or pioneering AI systems our teams strive to continuously progress science advance society and improve the lives of billions of people.
Google LLCUX Researcher, Core, Data UX, AI Foundations Google LLCUX Researcher, Core, Data UX, AI FoundationsSan Jose, CAYou will drive research to characterize and optimize the end-to-end workflow for AI/ML and data engineers, researchers, and scientists at Google, focusing on identifying bottlenecks and shaping next-generation, AI-driven tools and agentic systems. You will explore user behaviors and motivations by conducting primary research, including: field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis.
Google LLCStudent Researcher, PhD, Winter/Summer 2026 Google LLCStudent Researcher, PhD, Winter/Summer 2026Palo Alto, CA$113,000–$150,000 / yearMinimum qualificationsCurrently enrolled in a PhD degree in Computer Science Linguistics Statistics Biostatistics Applied Mathematics Operations Research Economics Natural Sciences or related technical field. Whether were shaping the future of sustainability optimizing algorithms or pioneering AI systems our teams strive to continuously progress science advance society and improve the lives of billions of people.
Pride GlobalNewUX Researcher II Pride GlobalUX Researcher IISan Bruno, CA$85.63–$101.50 / hourOnly applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. Partner closely with Product Managers, Designers, Engineers, and other stakeholders to influence product strategy and user experience decisions.
PeopleNTech LLCUX Researcher III PeopleNTech LLCUX Researcher IIISanta Clara, CAResearch is paramount to this organization's success - formative research is needed to identify the right latent needs or problems in the world to tackle with product solutions, iterative design research is needed to mold early product ideas into testable prototypes, and creative evaluative research is needed to improve and prepare those products for market. As a UX researcher on NPE, you'll have the opportunity to partner directly with a single, tightly integrated pod with significant freedom to operate with the time, people and space necessary for conceiving, building and launching brand new products.
Google LLCSenior UX Quantitative Researcher, Ecosystem Growth, Core Google LLCSenior UX Quantitative Researcher, Ecosystem Growth, CoreSunnyvale, CAWe value diverse educational experiences-from Computer Science to Psychology-and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Partner closely with Product, Data Science, UX Design, UX Writing, Engineering, and Marketing leaders to drive product strategy and ensure product excellence through strategic and tactical research.
Google LLCSenior UX Researcher, GP Studio Google LLCSenior UX Researcher, GP StudioMountain View, CAGBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google"s most complex and important customers and partners. You'll play a critical role in helping your team understand user needs and will drive impact at all stages of product development, ensuring products are useful, usable, and helpful.
Google LLCQuantitative UX Researcher, Search Ads Google LLCQuantitative UX Researcher, Search AdsMountain View, CAWe value educational experiences-from Computer Science to Psychology-and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Experience in multivariate statistics and the design of experiments with an ability to self-directed when it comes to choosing an analysis approach given a research question and a dataset.
Google LLCStaff UX Quantitative Researcher, Search Google LLCStaff UX Quantitative Researcher, SearchMountain View, CAFollow Life at Google on More about us About us open_in_new Contact us open_in_new Press open_in_new Related Information Investor relations open_in_new Blog open_in_new. work_outline Jobs expand_more noogler_hat Students expand_more google How we work expand_more handyman How we hire expand_more person_outline Your career expand_more.
Google LLCSenior UX Quantitative Researcher, Human Factors Google LLCSenior UX Quantitative Researcher, Human FactorsSan Jose, CAConduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets. We value diverse educational experiences-from Computer Science to Psychology-and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights.
Google LLCQualitative UX Researcher, Customer Engagement and AI Google LLCQualitative UX Researcher, Customer Engagement and AIMountain View, CAYou will explore user behaviors and motivations by conducting primary research, including: field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis. You'll play a critical role in helping your team understand user needs and will drive impact at all stages of product development, ensuring products are useful, usable, and helpful.
Google LLCSenior UX Researcher, Analytics, Insights and Measurement Google LLCSenior UX Researcher, Analytics, Insights and MeasurementMountain View, CACareers Careers Skip navigation links home home Home work_outline Jobs noogler_hat Students googlegoogle How we work handyman How we hire person_outline Your career help_outline Help link feedback Send feedback more_vert Help Send Feedback Sign in. Careers Careers home home Jobsexpand_more noogler_hat Students expand_more google How we work expand_more handyman How we hire expand_more person_outline Your career expand_more.
Apple IncAIML - Machine Learning Researcher, MLR Apple IncAIML - Machine Learning Researcher, MLRcupertino, CAPublication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, etc).Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLXPreferred QualificationsStrong mathematical skills in differential calculus, probability, statistics. DescriptionYou have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conferences, and make sure that your research results are of high quality and reproducible.
General Motors CoAI/ML Staff Researcher General Motors CoAI/ML Staff ResearcherMountain View, CAGeneral Motors Global Research and Development is seeking a highly strategic and technically exceptional AI/ML subject matter expert to lead advanced work in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), and Scientific Machine Learning (SciML). The ideal candidate is equally comfortable developing production-grade AI/ML solutions, evaluating emerging technologies, and engaging senior leaders in clear, actionable discussions on strategy, roadmap, and business impact.
Apple IncAIML Researcher/Engineer - Foundation Model Post-Training Apple IncAIML Researcher/Engineer - Foundation Model Post-TrainingCupertino, CAIn this role, you will play a critical role shaping the future of our LLM efforts, specifically in transforming our models into highly capable, intelligent assistants that power billions of Apple products. Demonstrated expertise in deep learning with a focus on LLMs, post-training, or reinforcement learning, backed by a strong record of academic or real-world accomplishments in these or closely related domains.