AI Research Scientist
Location: San Francisco Bay Area
About Us
We are at the forefront of artificial intelligence, pioneering innovative approaches to responsible AI. Our research team focuses on cutting-edge AI applications that directly influence the secure operation of AI agents in complex future environments.
Role Overview
We are seeking an AI Research Scientist to push the boundaries of AI systems while developing practical applications for software development and system optimization. This position merges foundational research with real-world applications in a production setting.
Key Responsibilities
Design and implement AI systems aimed at performance optimization.
Lead research initiatives from conceptualization to deployment.
Collaborate with engineering teams to integrate AI solutions effectively.
Publish research findings in leading conferences and journals.
Develop innovative machine learning models and algorithms.
Contribute to the company’s intellectual property through patents and publications.
Required Qualifications
Ph.D. in Computer Science, Artificial Intelligence, or a related field from a reputable institution.
Strong publication record in top-tier AI conferences.
Expertise in modern deep learning frameworks.
Proficient software engineering skills and coding abilities.
Experience with distributed AI systems and large-scale training.
Excellent written and verbal communication skills.
Strong mathematical foundation in linear and abstract algebra.
Preferred Qualifications
Experience with reinforcement learning and neural-guided optimization.
Background in program synthesis or formal methods.
Knowledge of compiler optimization techniques.
Expertise in AI systems for performance prediction and tuning.
Experience with large-scale model training and deployment.
Proven track record of successful research commercialization.
Achievements in top-tier algorithmic competitions (e.g., ACM-ICPC, USACO).
Technical Skills
Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
Experience with large language models and transformers.
Knowledge of distributed training systems.
Skills in code generation and analysis.
Ability in performance optimization.
Competence in statistical analysis and experimentation.
Strong research methodology and technical writing skills.
Tools & Technologies
Python, PyTorch, TensorFlow.
Large language models.
Distributed training frameworks.
Version control systems.
High-performance computing systems.
Code analysis tools.
Research documentation tools.
What We Offer
Autonomy to explore innovative research directions.
Competitive compensation package.
Access to extensive computing resources.
Support for conference attendance and publications.
Collaboration opportunities with leading researchers.
Professional development prospects.
If you are passionate about advancing artificial intelligence and developing responsible AI solutions, we invite you to join our team.

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Description
Leidos is looking for our next Senior Research Scientist with expertise in the areas of quantum information science, quantum networking and communication, and quantum computing with a proven track record in developing technology-based approaches that yield novel, innovative capabilities and advance the state of the art.
Primary Responsibilities
Engaging R&D customers in Defense, National Security, and Intelligence Communities to develop new business opportunities in the areas of quantum information systems, quantum networking and communication, quantum computing, and related technologies.
Support the development of innovative solutions in quantum information theory, quantum networking and communications, and quantum computing.
Develop and prioritize strategic business and technical goals to support future growth in the quantum information systems arena.
Manage and allocate business and technical resources to best position the company for successful capture and execution of R&D projects.
Basic Qualifications
B.S in Physics, Applied Physics, Material Science or related technical field with 12+ years of prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred)
Industrial/academic experience advancing the state-of-the-art in quantum systems research through the delivery of demonstrated technical solutions to challenging national security problems.
Research experience and experimental background in one or more of the following areas: quantum optics, quantum entanglement, photonics, quantum communications, quantum information science, quantum sensing, and/or quantum computing.
Experience executing R&D work for Government customers
Experience in a physics, optics, or material science laboratory environment
Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently
Ability to work in a fast-paced environment.
Proven research record, preferably with technical publications
Qualified candidates must be a US Citizen and able to obtain a Top Secret security clearance (no clearance needed to start)
Preferred Qualifications
Ph.D. in Physics, Applied Physics, Material Science or related technical field
Proven track record in proposing, winning, and executing R&D work for DoD and Intel Agencies (including DARPA and IARPA).
Strong customer understanding and proven history of relationship building in the Defense, National Security, and Intelligence communities
Experience building and running a physics, optics, or material science laboratory
Knowledge of various scripting and programming languages
Knowledge of networking fundamentals at all OSI layers, network security protocols and architectures, modern cryptography theory, algorithms, and implementations
Original Posting Date: 2025-01-27
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range: Pay Range $126,100.00 - $227,950.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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AI Research Scientist
Location:  San Francisco Bay Area
About Us
We are at the forefront of artificial intelligence, pioneering innovative approaches to responsible AI. Our research team focuses on cutting-edge AI applications that directly influence the secure operation of AI agents in complex future environments.
Role Overview
We are seeking an AI Research Scientist to push the boundaries of AI systems while developing practical applications for software development and system optimization. This position merges foundational research with real-world applications in a production setting.
Key Responsibilities
Design and implement AI systems aimed at performance optimization.
Lead research initiatives from conceptualization to deployment.
Collaborate with engineering teams to integrate AI solutions effectively.
Publish research findings in leading conferences and journals.
Develop innovative machine learning models and algorithms.
Contribute to the company’s intellectual property through patents and publications.
Required Qualifications
Ph.D. in Computer Science, Artificial Intelligence, or a related field from a reputable institution.
Strong publication record in top-tier AI conferences.
Expertise in modern deep learning frameworks.
Proficient software engineering skills and coding abilities.
Experience with distributed AI systems and large-scale training.
Excellent written and verbal communication skills.
Strong mathematical foundation in linear and abstract algebra.
Preferred Qualifications
Experience with reinforcement learning and neural-guided optimization.
Background in program synthesis or formal methods.
Knowledge of compiler optimization techniques.
Expertise in AI systems for performance prediction and tuning.
Experience with large-scale model training and deployment.
Proven track record of successful research commercialization.
Achievements in top-tier algorithmic competitions (e.g., ACM-ICPC, USACO).
Technical Skills
Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
Experience with large language models and transformers.
Knowledge of distributed training systems.
Skills in code generation and analysis.
Ability in performance optimization.
Competence in statistical analysis and experimentation.
Strong research methodology and technical writing skills.
Tools & Technologies
Python, PyTorch, TensorFlow.
Large language models.
Distributed training frameworks.
Version control systems.
High-performance computing systems.
Code analysis tools.
Research documentation tools.
What We Offer
Autonomy to explore innovative research directions.
Competitive compensation package.
Access to extensive computing resources.
Support for conference attendance and publications.
Collaboration opportunities with leading researchers.
Professional development prospects.
If you are passionate about advancing artificial intelligence and developing responsible AI solutions, we invite you to join our team.

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Company Description  It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description  The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest deep learning, and advanced techniques to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
You will play a major part in driving significant innovations for our Large Language Models (LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers. Our projects help power an amazing range of solutions to our 9k+ enterprise customers around the world.
What you get to do in this role:
Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.
Keep up with and actively contribute to the latest AI research developments, applying new insights to current projects and propose advanced new techniques that can help leapfrog existing ones. Work with other researchers and Applied Research scientists to validate and drive these innovations, eventually resulting in vastly improved models.
Contribute to the design, implementation, and scaling of LLM's as a key AI-first platform offering in ServiceNow’s portfolio. Develop and maintain detailed technical documentation that clearly captures the complexities of the language model, enabling easy understanding, efficient troubleshooting, and smooth future development. Similarly, document your codebase for efficient collaboration.
Work closely with various cross-functional teams to effectively identify and prioritize requirements, ensuring the language model aligns with stakeholder needs and expectations. Collaborate with a team of like-minded developers, applied research scientists, product managers, and quality engineers to produce quality software.
Oversee the entire project lifecycle, from research and development through to deployment and optimization. Work with product owners to understand detailed requirements and own your code from design, implementation, testing, and delivery of high-quality & high-impact solutions to our users.
Qualifications  To be successful in this role you have:
A minimum PhD with 3 years’ experience; or equivalent work experience.
Expertise in Python, OOP, and Design Patterns.
Experience in Pretraining of an LLM is preferred but not mandatory.
Experience with Instruction fine-tuning and other fine-tuning techniques is a must.
Experience with Reinforcement learning is preferred but not mandatory.
Experience with various transformer architectures (auto-regressive, sequence-to-sequence, etc).
Ability to read latest papers and experiment with the ideas.
Good publication record in top-tier conferences such as ICLR, NeurIPS, ICML, ACL, EMNLP, AAAI, etc.
Communicating your research findings to both technical and non-technical stakeholders, and working to ensure that the benefits and limitations of LLMs are clearly understood across the organization.
Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

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Company Description  It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description  Our group at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
You will play a pivotal role in leading the development of operational solutions to run next-generation Large Language Models (LLMs) for Enterprise Language Generation, empowering the NOW platform with AI experiences in the day-to-day work of our customers. With a focus on early-adopter customers, you will lead the creation and availability of an exceptional range of solutions to our 9k+ enterprise customers worldwide.
What you get to do in this role:
Contribute to the design, implementation, and operating LLMs at scale in a hybrid cloud environment to support ServiceNow's portfolio of products.
Collaborate daily with a team of like-minded developers, applied research scientists, product managers, and quality engineers to deliver high-quality software.
Work closely with product owners to understand detailed requirements and take ownership of the entire software development cycle, from design to implementation, testing, and delivery of high-quality and high-impact solutions to our users.
Utilize your experience with distributed systems to build scalable and performant shared services that support the development and deployment of AI models and applications.
Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods or collaborate to develop new ones to solve these problems in a practical and scalable way.
Qualifications   To be successful in this role you have:
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
15+ years of related experience with a Bachelor's degree; or 12 years and a Master's degree; or a PhD with 8+ years of experience; or equivalent work experience.
Experience in Instruction fine tuning and other fine tuning methodologies preferred.
Strong problem-solving skills and the ability to adapt to evolving requirements and technologies in the AI field.
Experience with Search or Recommendation systems preferred.
Demonstrated experience in creating and maintaining large-scale data processing pipelines, ensuring accurate, efficient, and secure data processing.
Proficiency in infrastructure design and implementation, with experience in building scalable and performant ML services.
Communicating to both technical and non-technical stakeholders, and working to ensure that the benefits and limitations of GenAI technologies are clearly understood across the organization.
Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
For positions in this location, we offer a base pay of $233,500 - $408,500, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information   Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here .
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact  talent.acquisition@servicenow.com  for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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Description
Leidos is looking for our next Senior Research Scientist with expertise in the areas of quantum information science, quantum networking and communication, and quantum computing with a proven track record in developing technology-based approaches that yield novel, innovative capabilities and advance the state of the art.
Primary Responsibilities
Engaging R&D customers in Defense, National Security, and Intelligence Communities to develop new business opportunities in the areas of quantum information systems, quantum networking and communication, quantum computing, and related technologies.
Support the development of innovative solutions in quantum information theory, quantum networking and communications, and quantum computing.
Develop and prioritize strategic business and technical goals to support future growth in the quantum information systems arena.
Manage and allocate business and technical resources to best position the company for successful capture and execution of R&D projects.
Basic Qualifications
B.S in Physics, Applied Physics, Material Science or related technical field with 12+ years of prior relevant experience, M.S degree with 10+ years of prior relevant experience, or Ph.D. with 8+ years of experience (Ph.D. preferred)
Industrial/academic experience advancing the state-of-the-art in quantum systems research through the delivery of demonstrated technical solutions to challenging national security problems.
Research experience and experimental background in one or more of the following areas: quantum optics, quantum entanglement, photonics, quantum communications, quantum information science, quantum sensing, and/or quantum computing.
Experience executing R&D work for Government customers
Experience in a physics, optics, or material science laboratory environment
Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently
Ability to work in a fast-paced environment.
Proven research record, preferably with technical publications
Qualified candidates must be a US Citizen and able to obtain a Top Secret security clearance (no clearance needed to start)
Preferred Qualifications
Ph.D. in Physics, Applied Physics, Material Science or related technical field
Proven track record in proposing, winning, and executing R&D work for DoD and Intel Agencies (including DARPA and IARPA).
Strong customer understanding and proven history of relationship building in the Defense, National Security, and Intelligence communities
Experience building and running a physics, optics, or material science laboratory
Knowledge of various scripting and programming languages
Knowledge of networking fundamentals at all OSI layers, network security protocols and architectures, modern cryptography theory, algorithms, and implementations
Original Posting Date:    2025-01-27
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:    Pay Range $126,100.00 - $227,950.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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In this exciting role, you will work in Berkeley Lab’s (LBNL) PHAX group in the Scientific Data Division. The PHAX group is a leader in computational physics research and software development across High-Energy and Nuclear Physics (HEP/NP) experiments. You will play a leading role in the development, adaptation, and deployment of Artificial Intelligence and Machine Learning (AI/ML) tools across HEP/NP experiments.
What You Will Do:
Collaborate with computer scientists, physicists, and mathematicians at LBNL on developing data science methods and software for HEP/NP.
Contribute to one or more of the group's ongoing projects, including developing methods for uncertainty-aware learning and building foundation models for HEP/NP.
Contribute to the research and development of AI/ML tools for the next generation of HEP/NP experiments.
Mentor postdoctoral researchers and graduate students working on related projects.
Stay abreast of new and emerging AI/ML trends, through R&D collaborations, literature, workshops and conferences; translate these into new directions for HEP/NP.
Demonstrate excellent oral and written communication skills.
Demonstrate the ability to work effectively as part of a cross-disciplinary team.
Develop solutions to complex problems that require regular use of ingenuity and creativity.
Independently plan and complete small projects and contribute to large projects choosing appropriate methods.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Additional Responsibilities as needed:
Identify and contribute to scientific projects that require significant computing and develop new workflows to assist these projects.
Identify and propose new research projects aligned with the group's priorities. Contribute to relevant research proposals.
Assist in the coordination of these efforts within LBNL.
What is Required:
Ph.D. in physics, computer science, statistics, or a related field; or equivalent combination of education and experience.
Experience with scientific AI/ML development.
Expertise with at least one standard AI/ML tool like TensorFlow, PyTorch, or JAX.
Expertise in running AI/ML tools at scale on distributed computing resources.
Experience with anomaly detection and data analysis in high dimensional spaces in at least one HEP/NP experiment.
Experience with generative models for HEP/NP simulation.
Experience with foundation models for point cloud data.
Ability to communicate effectively.
Demonstrated ability to develop open-source AI/ML software tools.
Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings.
Demonstrated ability to work effectively as part of a cross-disciplinary team.
Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrated ability to network with senior internal and external personnel in own area of expertise.
Desired Qualifications:
Experience with common HEP/NP software (Geant4, ROOT, etc).
Experience with high-performance computing systems and software optimization.
For full consideration, please apply by February 14, 2025.
Notes:
This is a full-time, 2-year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
The full salary range of this position is between $92,701 to $222,474 per year and is expected to pay between a targeted range of $123,605 to $173,027 per year depending upon candidates' full skills, knowledge, and abilities, including education, certifications, and years of experience.
This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work may be performed on-site, or hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism.

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Research Scientist Jobs in California, MO

Ai Research ScientistMarch 17, 2025

Senior Quantum Research ScientistMarch 17, 2025

Ai Research ScientistMarch 12, 2025

Staff Applied Research Scientist PretrainingfinetuningMarch 10, 2025

Principal Research ScientistengineerMarch 10, 2025

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Aiml Career Track Research ScientistFebruary 24, 2025