Analytical Scientist jobs at AT&T - 73 jobs

Senior Research Data Scientist, Central Operations AnalyticsMid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, a related quantitative field, or equivalent practical experience. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience using ETL tools. Experience conducting root cause analysis. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience supporting manufacturing, supply chain, or quality analytics. About the job The Central Operations Analytics team's (COAT) mission is to improve quality and manufacturing through data-driven decision making. The team focuses on governing quality return rates forecast through in-house developed algorithms, owning the strategy and development of scalable data tools, prototyping GenAI and advanced dashboards, and leading analytics to solve critical business problems. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Responsibilities Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Develop specialized tools for root cause analysis, station diagnostics, and statistical process control (SPC) to enable continuous improvement. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, restructure, or validate data to ensure quality. Analyze telemetry data and customer sentiment to quantify its impact on quality and inform design improvements. #J-18808-Ljbffr

Minimum qualifications: PhD in Physics, Material Science or a related field. 2 years of experience leading a research agenda. One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Experience developing and sustaining semiconductor fabrication processes in a cleanroom environment. Preferred qualifications: Experience with multiple, semiconductor equipment (e.g., vacuum, dry etch, PVD/CVD, wet etch, advanced lithography systems, high-volume metrology systems). Experience with failure analysis techniques (e.g., SEM/EDS, Optical Microscopy, X-Ray, FTIR, XPS). Experience with micro-fabrication techniques and tools and how these can affect quantum device performance. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Author research papers to share and generate impact of research results across function and in the research community. Help in growing research business by sharing research trends and best practices within the community. Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

_corporate_fare_ Google _place_ Goleta, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + PhD in Physics, Material Science or a related field. + 2 years of experience leading a research agenda. + One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). + Experience developing and sustaining semiconductor fabrication processes in a cleanroom environment. **Preferred qualifications:** + Experience with multiple, semiconductor equipment (e.g., vacuum, dry etch, PVD/CVD, wet etch, advanced lithography systems, high-volume metrology systems). + Experience with failure analysis techniques (e.g., SEM/EDS, Optical Microscopy, X-Ray, FTIR, XPS). + Experience with micro-fabrication techniques and tools and how these can affect quantum device performance. **About the job** As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Author research papers to share and generate impact of research results across function and in the research community. + Help in growing research business by sharing research trends and best practices within the community. + Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. + Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. + Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply now Back to search results Job no: 534453 Work type: Research Faculty Senior management: College of Science Department: Physics Job Description The Virginia Tech Physics Department invites applications for one postdoctoral associate/research scientist to work with Dr. Vsevolod Ivanov and Dr. Patrick Huber on the Quantum Sensing of Neutrinos (QuSen) project sponsored by DARPA. The successful candidate will conduct research in the areas of computational physics with the goal to develop a framework for understanding excess energy from defect formation in neutrino detectors. Duties may include supervising and coordinating the work of other researchers and personnel, including graduate and undergraduate students, as well as developing future efforts. The successful candidate will be based in Blacksburg, VA, but may be required to travel for conference presentations and international collaboration. Successful candidates at the Research Scientist level will have additional responsibilities with mentoring junior group members, as well as assisting the PIs with grant proposals. The successful candidate will be expected to interact with the broader quantum community at Virginia Tech, which includes the Center for Neutrino Physics, the Virginia Tech Center for Quantum Information Science and Engineering (vtq.vt.edu), the Center of Quantum Architecture and Software Development within the VT Innovation Campus, as well as the Quantum Economic Development Consortium (QED-C), of which Virginia Tech is a member. Required Qualifications The successful applicant must hold a Ph.D. in physics, material science, or a related field. * Strong verbal and written communication skills that are reinforced by active listening skills * Advanced knowledge of the principles of physics * Advanced knowledge of the methods and techniques used for research in computational condensed matter physics * Demonstrated experience of first-principles simulation codes such as VASP, Quantum Espresso, Wien2k or others * Demonstrated experience with phonon and exciton calculations and related properties * Research Scientist candidates must have previous postdoctoral research experience Preferred Qualifications * Demonstrated knowledge of simulating solid state defects, including formation processes with nudged elastic band, molecular dynamics, or related methods Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40 hours - exempt position Review Date 10/25/2025 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Jackie Woodyard at ************** during regular business hours at least 10 business days prior to the event. Advertised: October 16, 2025 Applications close:

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We aim to enhance Gemini's capabilities to become a truly collaborative partner. User intent is typically unveiled through an ongoing, interactive, and multi-step conversation, rather than a single, isolated prompt. We seek for the model to be able to proactively engage by asking clarifying questions, making timely suggestions, and automatically incorporating relevant context from past interactions and personal data. This challenge is conceptualized as an imperfect information game. The core objective is for the model to deduce a user's hidden goals and preferences through cues provided during a conversation. We plan to utilize advanced Reinforcement Learning methods to optimize for long-term user satisfaction, which necessitates solving intricate credit assignment issues within interactive, stateful environments; model robustness issues; and exploration/exploitation strategies. The techniques you develop will have a direct impact on a wide range of Gemini applications. Key responsibilities: + Design and implement novel multiturn RL algorithms to train collaborative LLMs. This includes exploring advanced methods for credit assignment, model robustness, and exploration/exploitation strategies. + Develop and scale our training infrastructure, building on our existing framework for training against stateful user simulators. + Formalize the problem of collaborativity by creating new metrics, environments, and evaluation methodologies that capture long-term user satisfaction and preference alignment. + Do cutting-edge research that pushes the boundaries of how agents learn from interactions with users, user simulators and other agents with diverse model behaviors. + Collaborate with research and product teams to integrate these capabilities into core Gemini products, improving tasks that require sustained interaction and user understanding. To make this effort successful, we need a strong RS who can help us deliver state-of-the-art collaborative models. We are looking for a candidate with deep expertise in reinforcement learning and large-scale ML systems. You should be passionate about solving complex, long-horizon problems and excited by the challenge of building truly adaptive and intelligent agents. About You In order to set you up for success as a Research Scientist at DeepMind, we look for the following skills and experience: + PhD in Machine Learning, Reinforcement Learning, Natural Language Processing, or a related field. + Strong data analysis and synthetic data generation skills. + Strong development skills in Python and experience with deep learning frameworks like JAX, PyTorch, or TensorFlow. + Experience building and working with large-scale ML training systems. In addition, the following would be an advantage: + Deep theoretical and practical experience in Reinforcement Learning (e. g. , policy gradient methods, value-based methods, model-based RL, credit assignment, robustness). + Experience developing and training large generative models (LLMs). + Strong track record of academic publications in top-tier conferences (e. g. , NeurIPS, ICML, ICLR, AAAI). + Familiarity with research on game theory, multi-agent systems, or learning from human feedback (RLHF/RLAIF). + Experience building or using user simulators for RL training. The US base salary range for this full-time position is between $166,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application Deadline: December 15, 2025 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us Model distillation is a key innovation enabling the acceleration of AI, turning large general models into small and specialized models used across the industry. However, distillation techniques can also be used to steal critical model capabilities, representing a significant threat to the intellectual property and integrity of our foundational models. The Role As part of the Security & Privacy Research Team at Google DeepMind, you will build our first line of distillation and security defenses: a state-of-the-art detection system. You will research, design, and train novel classifiers to identify distillation and other security threats in real time. This is a unique opportunity to build the core detection system that protects Gemini. You will be at the forefront of defining how we monitor and protect GDM models by building the core systems that identify sophisticated threats. Key Responsibilities + Build Scalable Classifier Infrastructure: Design and build scalable pipelines for training and evaluating many novel classifiers. + Train and Evaluate Classifiers: Train and evaluate classifiers for distillation detection and other key GDM security priorities. + Own Classifier Deployment and Integration: Collaborate with model training, infrastructure, and deployment teams to deploy classifiers into our production models. About You We are looking for a research scientist, research engineer, or software engineer who is passionate about building the detection systems that protect the future of AI. You are an expert in machine learning, with a deep focus on designing, training, and evaluating classifiers. You thrive on ambiguity and enjoy the challenge of iterating to achieve state-of-the-art detection capabilities. Minimum qualifications: + Ph.D. in Computer Science or a related quantitative field, or a B.S./M.S. in a similar field with 2+ years of relevant industry experience. + Demonstrated research or product expertise in machine learning, with a focus on classifier training, classifier evaluation and model evaluation. Preferred qualifications: + Deep expertise in training and evaluating a wide range of classifier architectures. + Proven experience building and scaling ML training and evaluation infrastructure. + Experience building data pipelines using LLM autoraters. + Strong understanding of model distillation, model stealing, and other capability extraction techniques. + Strong software engineering skills and experience with ML frameworks like JAX, PyTorch, or TensorFlow. + A track record of landing research impact or shipping production ML systems in a multi-team environment. The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

About Us Our team operates at the frontier of modern recommender systems. With a proven track record of innovating and deploying novel deep learning algorithms and systems at scale, we are currently focused on building the next-gen Large Recommendation Models by bridging the gap between LLMs and complex behavioral signals. Our research explores user & item tokenizations, continued pre-training, and advanced fine-tuning techniques to build recommendations-native foundation models. Our mission is to transform the landscape of recommendation systems using the most advanced AI technologies, delivering massive impact across Google's flagship products. The Role As a Research Scientist, you will have the opportunity to build new paradigms using Large Language Models, harnessing the advanced content understanding, long-context, and reasoning capabilities. You will play a pivotal role in exploring how to integrate data from recommendation domains into foundation models, enabling new capabilities through data curation, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL) training, and more. Key responsibilities: + Research and develop key technologies such as Semantic IDs, generative retrieval/ranking, large user models. + Build prototypes to demonstrate the "art of the possible" for recommendation systems using the newest AI advances. + Work closely with product teams to translate research breakthroughs into deployed solutions for flagship products, tackling real-world challenges at an industrial scale through new recipes. About You We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don't work out. In order to set you up for success as a at Google DeepMind, we look for the following skills and experience: + PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience). + A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions), ranging from recent graduates to experienced researchers. + Strong software engineering skills to complement your research background. In addition, the following would be an advantage: + Proven track record of building recommender / search systems and/or successfully deploying novel deep learning algorithms at industrial scale. + Skilled in LLM post-training algorithms and infra, with proficiency in JAX. + Strong communication skills with a demonstrated ability to drive cross-functional projects and collaborate effectively across organizational boundaries. What We Offer At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc. We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We are looking for Research Scientists to join the Robotics team whose mission is to build "Embodied AI" - a robot brain capable of whole-body, dexterous, general and useful physical actions - to improve the lives of billions of people in the physical world. The Role Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases. Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a diverse multi-functional team that builds the future of robotics. Key responsibilities: + Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities. + Write software to implement research ideas and iterate quickly. + Leverage your expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more. + Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals. + Generate creative ideas, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally. About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: + PhD in a technical field or equivalent practical experience. + Knowledge of the latest in large machine learning research. In addition, the following would be an advantage: + Experience working with simulators and real-world robots. + Expertise in using large datasets with deep neural networks to make real robots useful. + A real passion for AI impacting real world robots! The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot Work with research scientists and engineers to advance the capabilities of CodeMender (*********************************************************************************** , an AI agent for code security. Together, you will apply ML and advanced program analysis techniques to make software more secure. About Us Artificial Intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role AI's cyberattack capability is increasing rapidly; recently, there has been a surge in the number of zero-day exploits found by AI in well-tested software. As we achieve more breakthroughs in AI-powered vulnerability discovery, it will become increasingly difficult for humans alone to keep up. We recently announced CodeMender (*********************************************************************************** , an AI agent for Code Security that helps solve this problem by taking a comprehensive approach to code security that's both reactive, instantly patching new vulnerabilities, and proactive, rewriting and securing existing code and eliminating entire classes of vulnerabilities in the process. As a research scientist in the CodeMender team, you will research new approaches to leveraging AI for code security, build prototypes and demos, train new models, work with partner and client teams, and most importantly, land transformative impact for GDM and software security more broadly. The preferred locations are Mountain View, San Francisco, or New York. Key responsibilities: + Developing strategies and solutions to advance the agent's abilities to solve code security challenges. + Integrating novel agentic techniques into research prototypes. + Training new models using fine tuning or reinforcement learning techniques. + Building evaluation pipelines, benchmarks, and leaderboards. + Working with product teams to gather research and product requirements. + Consulting on the deployment of research-based solutions to products. About You We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and at times change course if our ideas don't work out, so flexibility and adaptability to work is a must. In order to set you up for success as a Research Scientist or Research Engineer at DeepMind, we look for the following skills and experience: + Extensive experience with developing ML techniques to reasoning and code generation problems + MSc or PhD/DPhil degree in computer science or a related field. + Significant success with project(s) building AI tools, either as research publications at top conferences, as an artifact developed at a company, or as open source artifact(s). + Large contribution to the code and (co-)leading the development in the project(s) above (which can be a research prototype). + Proven experience of prominent ML frameworks is highly desirable. + Experience in ML/AI for Code is helpful. + Independent, self-starter attitude. + Passion for the mission above. The US base salary range for this full-time position is between $141,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We aim to enhance Gemini's capabilities to become a truly collaborative partner. User intent is typically unveiled through an ongoing, interactive, and multi-step conversation, rather than a single, isolated prompt. We seek for the model to be able to proactively engage by asking clarifying questions, making timely suggestions, and automatically incorporating relevant context from past interactions and personal data. This challenge is conceptualized as an imperfect information game. The core objective is for the model to deduce a user's hidden goals and preferences through cues provided during a conversation. We plan to utilize advanced Reinforcement Learning methods to optimize for long-term user satisfaction, which necessitates solving intricate credit assignment issues within interactive, stateful environments; model robustness issues; and exploration/exploitation strategies. The techniques you develop will have a direct impact on a wide range of Gemini applications. Key responsibilities: + Design and implement novel multiturn RL algorithms to train collaborative LLMs. This includes exploring advanced methods for credit assignment, model robustness, and exploration/exploitation strategies. + Develop and scale our training infrastructure, building on our existing framework for training against stateful user simulators. + Formalize the problem of collaborativity by creating new metrics, environments, and evaluation methodologies that capture long-term user satisfaction and preference alignment. + Do cutting-edge research that pushes the boundaries of how agents learn from interactions with users, user simulators and other agents with diverse model behaviors. + Collaborate with research and product teams to integrate these capabilities into core Gemini products, improving tasks that require sustained interaction and user understanding. To make this effort successful, we need a strong RS who can help us deliver state-of-the-art collaborative models. We are looking for a candidate with deep expertise in reinforcement learning and large-scale ML systems. You should be passionate about solving complex, long-horizon problems and excited by the challenge of building truly adaptive and intelligent agents. About You In order to set you up for success as a Research Scientist at DeepMind, we look for the following skills and experience: + PhD in Machine Learning, Reinforcement Learning, Natural Language Processing, or a related field. + Strong data analysis and synthetic data generation skills. + Strong development skills in Python and experience with deep learning frameworks like JAX, PyTorch, or TensorFlow. + Experience building and working with large-scale ML training systems. In addition, the following would be an advantage: + Deep theoretical and practical experience in Reinforcement Learning (e.g., policy gradient methods, value-based methods, model-based RL, credit assignment, robustness). + Experience developing and training large generative models (LLMs). + Strong track record of academic publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI). + Familiarity with research on game theory, multi-agent systems, or learning from human feedback (RLHF/RLAIF). + Experience building or using user simulators for RL training. The US base salary range for this full-time position is between $166,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application Deadline: December 15, 2025 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us Model distillation is a key innovation enabling the acceleration of AI, turning large general models into small and specialized models used across the industry. However, distillation techniques can also be used to steal critical model capabilities, representing a significant threat to the intellectual property and integrity of our foundational models. The Role As part of the Security & Privacy Research Team at Google DeepMind, you will take on a holistic role in securing our AI assets. You will both identify unauthorized distillation attempts and actively harden our models against distillation. This is a unique opportunity to contribute to the full lifecycle of defense for the Gemini family of models. You will be at the forefront detecting threats in the wild and building resilience into our models. Key Responsibilities + Research Defense Strategies: Research techniques to detect distillation and techniques to actively defend against distillation. + Deploy Detection & Mitigation Systems: Design and build systems that detect abd mitigate unauthorized capability extraction. + Evaluate Impact: Rigorously measure the effectiveness of defense mechanisms, balancing the trade-offs between model robustness, defensive utility, and core model performance. + Collaborate and Publish: Work closely with world-class researchers across GDM, Google, and the industry to publish groundbreaking work, establish new benchmarks, and set the standard for responsible AI defense. About You We are looking for a creative and rigorous research scientist, research engineer, or software engineer who is passionate about trailblazing the critical field of model defense. You thrive on ambiguity and are comfortable working across the spectrum of security-from thinking like an adversary to building proactive protections. You are driven to build robust systems that protect the future of AI development. Minimum qualifications: + Ph.D. in Computer Science or a related quantitative field, or a B.S./M.S. in a similar field with 2+ years of relevant industry experience. + Demonstrated research or product expertise in a field related to model security, adversarial ML, post-training, or model evaluation. + Experience designing and implementing large-scale ML systems or counter-abuse infrastructure. Preferred qualifications: + Deep expertise in one or more of the following areas: model distillation, model stealing, security, memorization, Reinforcement Learning, Supervised Fine-Tuning, or Embeddings. + Proven experience in Adversarial Machine Learning, with a focus on designing and implementing model defenses. + Strong software engineering skills and experience with ML frameworks like JAX, PyTorch, or TensorFlow. + A track record of landing research impact or shipping production systems in a multi-team environment. + Current or prior US security clearance. The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us + Our team is part of Google DeepMind (GDM) in the Frontier-AI unit. We specialize in multimodal foundational models, with a focus on image and video domains. + We are looking for a research scientist to develop agentic solutions to improve the capabilities of multimodal models in GDM. + Candidates must have strong machine learning skills, including experience in LLMs and computer vision. We also require competency in software engineering, which is required to implement robust solutions at the scale that we operate. + Our team values both internal and external impact and there should be opportunities for both in this role. The Role As a Research Scientist specializing in Multimodal Agents, you will be at the forefront of developing innovative agentic solutions to enhance the capabilities of Google DeepMind's foundational models, particularly within the image and video domains. This is an exciting opportunity to contribute directly to advancing the state of the art in artificial intelligence, working with cutting-edge technologies and a team of world-class experts. You will be instrumental in designing, implementing, and deploying robust machine learning solutions at scale, with a clear path to both internal and external impact through product integration and publications. This role offers a unique chance to shape the future of AI agents by pushing the boundaries of multimodal understanding and interaction. Key responsibilities: + Design and implement novel agentic solutions to enhance the capabilities of multimodal foundational models, specifically in image and video domains. + Conduct cutting-edge research in machine learning, with a focus on large language models (LLMs) and computer vision, to drive advancements in multimodal understanding and interaction. + Develop and deploy robust, scalable machine learning systems and prototypes that integrate effectively with Google DeepMind's existing infrastructure. + Collaborate with cross-functional teams of scientists and engineers to translate research insights into impactful product features and publications. + Analyze and evaluate the performance of agentic models, iterating on designs and approaches to continuously improve their effectiveness and efficiency. + Stay abreast of the latest research and developments in AI, particularly in multimodal learning and agent systems, and contribute to the scientific community through publications and presentations. About You In order to set you up for success as a Research Scientist/Research Engineer at Google DeepMind, we look for the following skills and experience: + PhD in machine learning, computer vision or related field + 3+ publications in top ML or vision conferences/journals + Python experience + JAX/pytorch experience In addition, the following would be an advantage: + Distributed data pipeline experience (e.g., beam) + C++ experience + Experience developing LLM-based agents. The US base salary range for this full-time position is between $141,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot Accelerate research in strategic projects that enable trustworthy, robust and reliable Agentic systems with a group of research scientists and engineers on a mission-driven team. Together, you will apply ML and other computational techniques to a wide range of challenging problems. About Us We're a dedicated scientific community, committed to "solving intelligence" and ensuring our technology is used for widespread public benefit. We've built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don't set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals The Role As a Research Scientist in Strategic Initiatives, you will use your machine learning expertise to collaborate with other machine learning scientists and engineers within our strategic initiatives programs. Your primary focus will be on building technologies to make AI agents safer. AI agents are increasingly used in sensitive contexts with powerful capabilities, having abilities to access personal data, confidential enterprise data and code, interact with third party applications or websites, or write and execute code in order to fulfil user tasks. Ensuring that such agents are reliable, secure and trustworthy is a large scientific and engineering challenge, with huge potential impact. In this role, you will serve this mission by proposing and evaluating novel approaches to agentic safety, building prototype implementations and production grade systems to validate and ship your ideas, in collaboration with a team of researchers and engineers from SSI, and the rest of Google and GDM. Key responsibilities: + Invent and implement novel recipes for making agents safer, involving both improving models that power the agents, as well as systems that are built around the agents + Develop strategies to hill-climb leaderboards and debug possible performance and safety issues in frontier agents + Integrate novel agentic technologies into research & production grade prototypes + Work with product teams to gather research requirements and consult on the deployment of research-based solutions to help deliver value incrementally + Amplify the impact by generalizing solutions into reusable libraries and frameworks for safer AI agents across Google, and by sharing knowledge through design docs, open source, or external blog posts About You In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: + PhD in computer science, security or related field, or equivalent practical experience + Passion for accelerating the development of safe agents using innovative technologies, demonstrated via a portfolio of prior projects (github repos, papers, blog posts) + Strong programming experience. + Demonstrated record of python implementations of LLM pipelines. + Strong AI and Machine Learning background In addition, the following would be an advantage: + Experience in applying machine learning techniques to problems surrounding scalable, robust and trustworthy deployments of models. + Experience with GenAI language models, programming languages, compilers, formal methods, and/or private storage solutions. + Demonstrated success in creative problem solving for scalable teams and systems + A real passion for AI!

Apply share * link Copy link * email Email a friend Minimum qualifications: * PhD degree in Computer Science, a related field, or equivalent practical experience. * One or more scientific publication submission(s) for conferences, journals, or public repositories. * Coding experience in Python, JavaScript, R, Java, or C++. Preferred qualifications: * 2 years of coding experience in Python, JavaScript, R, Java, or C++. * 1 year of experience owning and initiating research agendas. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Author research papers to share and generate impact of research results across the team and in the research community. * Help in growing research business across teams by sharing research trends and best practices within the community. * Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed. * Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance. * Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + PhD degree in Computer Science, a related field, or equivalent practical experience. + One or more scientific publication submission(s) for conferences, journals, or public repositories. + Coding experience in Python, JavaScript, R, Java, or C++. **Preferred qualifications:** + 2 years of coding experience in Python, JavaScript, R, Java, or C++. + 1 year of experience owning and initiating research agendas. **About the job** As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Author research papers to share and generate impact of research results across the team and in the research community. + Help in growing research business across teams by sharing research trends and best practices within the community. + Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed. + Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance. + Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Snapshot Help us build generative models of the 3D world. World models power numerous domains, such as media generation, visual reasoning, simulation, planning for embodied agents, and real-time interactive experiences. Work with us to build better versions of Gemini, Genie, and Veo, while also exploring new, spatial modalities beyond images and videos. The Role Key responsibilities: Conduct research to build generative multimodal models of the 3D world. Solve essential problems to train world models at massive scale: build and train large-scale systems for data annotation, curate and annotate training datasets, build and maintain large model training infrastructure, develop scaling ladders and training recipes, develop metrics for spatial intelligence, enable real-time interactive experiences, study the integration of spatial modalities with multimodal language models, and of course: actually train massive-scale models. Areas of focus: + 3D computer vision, spatial annotation systems + Spatial representations + Training large-scale transformers + Generative pixel and latent models + Infrastructure for large-scale data pipelines and annotation. + Quantitative evals for spatial accuracy and intelligence. + Model scaling, efficiency, distillation, training infrastructure About you We seek individuals who are passionate about large-scale generative models and believe spatial understanding and generation are on the path to intelligence. We strive for simple methods that scale and look for candidates excited to improve models through infrastructure, data, evals, and compute. In order to set you up for success as a Research Scientist/Engineer at Google DeepMind, we look for the following skills and experience: + MSc or PhD in computer science or machine learning, or equivalent industry experience. + Experience with large-scale transformer models and/or large-scale data pipelines. + Track record of releases, publications, and/or open source projects relating to video generation, world models, multimodal language models, or transformer architectures. + Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems. + Demonstrated experience in large-scale training of multimodal generative models. In addition, the following would be an advantage: + Experience building training codebases for large-scale video or multimodal transformers. + Expertise optimizing efficiency of distributed training systems and/or inference systems. + Strong background in 3D representations or 3D computer vision + Strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV). + A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content.

Apply share * link Copy link * email Email a friend Minimum qualifications: * PhD in Physics, Electrical Engineering, a related engineering discipline, or equivalent practical experience. * 3 years of experience with Quantum Computing. * Experience with superconducting qubits. * One or more scientific publication submission(s) for conferences, journals, or public repositories. Preferred qualifications: * Experience with Circuit Quantum Electrodynamics (QED), transmon qubits, fluxonium qubits, tunable couplers, or flux/charge noise analysis. * Experience with collaborative software development. * Experience collaborating with experimentalists on quantum projects. * Understanding of two-qubit gates modeling, and qubit readout modeling. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. As a Research Scientist, you will play a critical role in modeling and understanding the performance of our superconducting qubit systems and their control electronics. You will be responsible for simulating single and two-qubit gates and readout processes, incorporating realistic environmental noise and limitations from both the quantum device and the control hardware. You will collaborate closely with hardware/electronics design and measurement teams to identify and model error sources that limit overall system performance. Your analysis will directly inform the development of next-generation qubits and control strategies to accelerate our progress toward a large-scale, fault-tolerant quantum computer. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Simulate single and two-qubit gates and readout for superconducting qubits, incorporating realistic environmental noise (e.g., thermal noise, flux noise, charge noise) and Adiabatic Quantum-Flux-Parametron (AQFP) control hardware constraints (e.g., amplitude and timing resolution, limited bandwidth, pulse distortion, crosstalk). * Propose and analyze new gate and readout methods compatible with AQFP electronics. * Collaborate with teams focused on design and measurement to model errors limiting Quantum Processing Unit (QPU) performance and develop improvement strategies.

Apply now Back to search results Job no: 534650 Work type: Research Faculty Senior management: College of Science Department: Biological Sciences Job Description The Virginia Tech Center for Ecosystem Forecasting is recruiting a Research Scientist with a Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural Resources, Environmental Engineering, or a related field. We are seeking to recruit an integral, long-term member of our team who will contribute to environmental modeling and forecasting research across multiple funded projects. Following the mission of the Virginia Tech Center for Ecosystem Forecasting, we seek a team member who is excited to both create and apply innovative environmental models and forecasts that provide actionable forecast insights to guide decision-making and management. We encourage applicants to visit our website (*********************************** to learn more about the Center, its mission and values, current projects, and our highly collaborative, interdisciplinary research team. Specific responsibilities for the on-site position include: 1) developing ecological forecasts (especially for lake and reservoir water quality) using a suite of models and datasets; 2) leading and co-authoring peer-reviewed publications, presentations, and data products; 3) providing guidance and mentorship to team members and supporting ongoing Center programs (including the Macrosystems EDDIE educational program); and 4) serving in a leadership role in the Center, which includes setting priorities, engaging partners, preparing reports, and collaborating with CEF co-directors and staff to apply for external funding. The review of applications will begin on Monday, 22 December, with anticipated Zoom interviews being scheduled in early January. Funding for this position is available for multiple years, pending satisfactory performance during an initial probationary period and subsequent annual performance reviews. We are unable to sponsor or take over sponsorship of an employment visa for this position at this time. Required Qualifications * Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural Resources, Environmental/Civil Engineering, or a related field * Significant experience in publishing peer-reviewed journal articles, demonstrated by publication record * Significant quantitative research experience in ecosystem modeling, environmental forecasting, and/or computational ecology, demonstrated by publications and/or software development * Significant experience working in the R and/or Python programming language, demonstrated by GitHub (or other code repository) portfolio * Significant experience in environmental data analysis, demonstrated by publications and presentations * Experience with collaborative coding, demonstrated by GitHub (or other code repository) activity * Ability to work in interdisciplinary collaborative teams, demonstrated by previous team research experiences Preferred Qualifications * Postdoctoral research experience * Experience with water quality models, demonstrated by developing, calibrating, and applying water quality models, especially for lakes and reservoirs * Experience publishing data and code products, demonstrated by authorship of published data and code * Experience in data and forecast visualization, demonstrated by development and dissemination of data and forecast visualizations * Experience in mentoring and/or supervising * Experience working across computational platforms (e.g., command line, Docker, cloud computing and storage, RStudio, etc.) Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40 hours - exempt position Review Date December 22, 2025 Additional Information The review of applications will begin on Monday, 22 December, with anticipated Zoom interviews being scheduled in early January. Funding for this position is available for multiple years, pending satisfactory performance during an initial probationary period and subsequent annual performance reviews. We are unable to sponsor or take over sponsorship of an employment visa for this position at this time. The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Dreama Price at ************* during regular business hours at least 10 business days prior to the event. Advertised: October 30, 2025 Applications close:

Are you looking for an opportunity with plenty of growth potential? Do you enjoy working in an exciting, fast-paced, collaborative environment? Are you interested in working with the world's most innovative companies to create a more connected world? Connecting Continents. Impacting Communities. The backbone of the Internet is a series of high-tech subsea fiber optic cables deployed throughout the globe - SubCom has deployed over 50% of them. Our employees ensure data communications networks are engineered, manufactured, deployed to the highest standards, enabling faster and more reliable connectivity to communities worldwide. Every member of the SubCom team plays a role in an end-to-end process that is critical to enterprises, governments, big cities, and rural towns. We encourage, expect, and value creativity, thoughtful risk taking, openness to change, and diverse perspectives. Whether you're a seasoned applicant seeking a new and exciting challenge, or you're new to the workforce and looking for a flexible, rewarding, and fast-paced position with an innovative and stable organization (since 1953), SubCom has opportunities to advance your career. Position Overview The Product Line Management is responsible for the strategic direction, lifecycle management, and profitability of SubCom's undersea, terminal equipment and software portfolio of products. This role leads cross-functional teams to define product vision, drive innovation, and ensure alignment with market needs and business objectives. The ideal candidate combines deep subsea market insight, technical understanding, and business acumen to deliver technical solutions. Responsibilities * Define and execute the product line strategy in alignment with corporate goals. * Identify market trends, customer needs, and competitive dynamics to guide product development and positioning. * Develop long-term roadmaps and investment plans for the product line. * Own the full lifecycle of products-from concept to end-of-life. * Monitor product performance and adjust strategies based on data-driven insights. * Lead cross-functional teams including engineering, marketing, sales, and operations. * Serve as the voice of the customer and market within the organization. * Partner with R&D to prioritize features and innovations that drive value. * Drive cost reduction initiatives and value engineering efforts. * Foster a culture of innovation, accountability, and continuous improvement.