172 Results for

Field Researcher Jobs in San Jose, CA

Jobs

Menlo Park, CA30+ days ago

$50–$70 Per Hour

Design & 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.

New!

Burlingame, CA4 days ago

Remote

$80–$90 Per Hour

Unlike 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.

Burlingame, CA7 days ago

$50–$80 Per Hour

Information 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.

Livermore, CA30+ days ago

$122,028–$143,328 Per Year

You 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.

Mountain View, CA11 days ago

Google 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.

Mountain View, CA25 days ago

Whether 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, CA30+ days ago

In 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.

Livermore, CA30+ days ago

Experience 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.

Los Gatos, CA30+ days ago

$294,000–$470,000 Per Year

Partner 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.

Livermore, CA30+ days ago

This 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.

Livermore, CA30+ days ago

An 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.

New!

Palo Alto, CA5 days ago

As 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.

New!

Livermore, CA5 days ago

We 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.

Livermore, CA24 days ago

We 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.

Palo Alto, CA18 days ago

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. 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.

Livermore, CA30+ days ago

You 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.

Livermore, CA30+ days ago

$122,028–$143,328 Per Year

Experience 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.

Livermore, CA30+ days ago

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. 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.

Livermore, CA30+ days ago

We 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.

Livermore, CA30+ days ago

$122,028–$143,328 Per Year

Develop 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.

Livermore, CA30+ days ago

$175,530–$267,060 Per Year

Expert 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.

San Jose, CA30+ days ago

$218,700–$249,600 Per Year

technical 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.

San Jose, CA30+ days ago

$257,300–$293,700 Per Year

technical 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.

San Jose, CA30+ days ago

$262,500–$299,600 Per Year

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 Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II. Basic 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.

San Jose, CA30+ days ago

$262,500–$299,600 Per Year

San Jose, CA30+ days ago

$278,400–$317,700 Per Year

Preferred 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.

San Jose, CA30+ days ago

$218,700–$249,600 Per Year

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. 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.

San Jose, CA30+ days ago

$218,700–$249,600 Per Year

technical 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.

San Jose, CA30+ days ago

$218,700–$249,600 Per Year

technical 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.

Dublin, California30+ days ago

Go 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.

Dublin, California30+ days ago

Go 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.

Dublin, California30+ days ago

Maintain 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.

Dublin, California30+ days ago

Mountain View, CA30+ days ago

This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research. Lead a small team of Machine Learning engineersQualifications:PhD in Computer Science, Electrical Engineering, or a related field and at least 10 years of industry or research experience in the field.

Sunnyvale, California17 days ago

Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. As General Motors shapes the future of in-vehicle experiences, we are seeking a Design/User Experience Researcher to lead generative and evaluative research for future-facing features and interfaces.

New!

Burlingame, CA4 days ago

$1–$1 Per Hour

Tech 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.

Santa Clara, CA30+ days ago

Research 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.

San Bruno, CA7 days ago

$85.63–$101.50 Per Hour

Only 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.

Sunnyvale, CA30+ days ago

$113,000–$150,000 Per Year

Minimum 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.

San Jose, CA10 days ago

You 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.

San Bruno, CA30+ days ago

$92,000–$122,000 Per Year

Minimum 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.

Mountain View, CA11 days ago

We 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.

San Jose, CA17 days ago

Conduct 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.

Mountain View, CA17 days ago

You 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.

Mountain View, CA30+ days ago

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Sunnyvale, CA20 days ago

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. 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.

Mountain View, CA30+ days ago

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Mountain View, CA11 days ago

GBO 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.

Stanford, CA30+ days ago

Project Unleaded within the Center for Human and Planetary Health at the Woods Institute for the Environment is seeking an Applied Scientific Researcher to support and advance research to identify and prioritize the most important sources of lead poisoning globally, develop and test interdisciplinary interventions to mitigate and eliminate these sources, and advance field-appropriate rapid measurement techniques to detect lead in humans and the environment. Working on campus and around the globe, the Woods Institute and its hosted centers and programs combine cutting-edge scholarship, diverse partnerships, and deep engagement across sectors and disciplines to advance just practical solutions for people and the planet.

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Field Researcher Jobs in San Jose, CA

Quantitative Researcher INSPYR Solutions

UX/Consumer Insights Researcher IV Ursus, Inc.

UX Researcher INSPYR Solutions

Space Hardware - Postdoctoral Researcher Lawrence Livermore National Laboratory

Quantitative UX Researcher, Search Google LLC

Student Researcher, 2026 Google LLC

IRiSS Predoctoral Researcher Stanford University

Machine Learning - Postdoctoral Researcher Lawrence Livermore National Laboratory

Senior Researcher, Product Experience Netflix Inc

Dislocation Analysis Computational Materials Science - Postdoctoral Researcher Lawrence Livermore National Laboratory

Uncertainty Quantification for Surrogate Models Postdoctoral Researcher Lawrence Livermore National Laboratory

Applied AI ML Researcher Lead JPMorgan Chase & Co

Laser Material Interaction Science - Postdoctoral Researcher Lawrence Livermore National Laboratory

Atmospheric Sciences - Postdoctoral Researcher Lawrence Livermore National Laboratory

Applied AI ML Researcher Director JPMorgan Chase & Co

Mesoscale Modeling - Postdoctoral Researcher Lawrence Livermore National Laboratory

Design Optimization Engineer - Postdoctoral Researcher Lawrence Livermore National Laboratory

Experimental Dynamic Materials - Postdoctoral Researcher Lawrence Livermore National Laboratory

Laser Postdoctoral Researcher - Advanced Photon Technologies Lawrence Livermore National Laboratory

Operations Research Postdoctoral Researcher Lawrence Livermore National Laboratory

Senior Cybersecurity Researcher Lawrence Livermore National Laboratory

Applied Researcher I Capital One Financial Corp

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Capital One Financial Corp

Applied Researcher II (AI Foundations) Capital One Financial Corp

Applied Researcher II Capital One Financial Corp

Distinguished Applied Researcher Capital One Financial Corp

Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols) Capital One Financial Corp

Applied Researcher I (AI Foundations) Capital One Financial Corp

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Capital One Financial Corp

Senior Applied AI Researcher (Dublin, CA) Articul8

Staff Applied AI Researcher - Agentic Reasoning Systems (Dublin, CA) Articul8

Staff Applied AI Researcher - Agentic Reasoning Systems (Brazil) Articul8

Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA) Articul8

Staff Applied AI Researcher - Agentic Reasoning Systems (India) Articul8

Principal Machine Learning Infrastructure Researcher Lightmatter Inc

Senior Vehicle Design Researcher GM

UX Researcher IV Tailored Management

UX Researcher III PeopleNTech LLC

UX Researcher II Pride Global

Student Researcher, PhD, Winter/Summer 2026 Google LLC

UX Researcher, Core, Data UX, AI Foundations Google LLC

Student Researcher, BS/MS, Winter/Summer 2026 Google LLC

Quantitative UX Researcher, Search Ads Google LLC

Senior UX Quantitative Researcher, Human Factors Google LLC

Qualitative UX Researcher, Customer Engagement and AI Google LLC

Senior UX Researcher, Analytics, Insights and Measurement Google LLC

Senior UX Quantitative Researcher, Ecosystem Growth, Core Google LLC

Staff UX Quantitative Researcher, Search Google LLC

Senior UX Researcher, GP Studio Google LLC

Applied Scientific Researcher Stanford University

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