1

Machine Learning Quantum Computing Jobs in Stockton, CA

... computing, advanced aerospace, missile and space systems, artificial intelligence and ... machine learning, autonomous systems and robotics, biotechnology, materials science ...

... computing, advanced aerospace, missile and space systems, artificial intelligence and ... machine learning, autonomous systems and robotics, biotechnology, materials science ...

Showing results 21-33

Machine Learning Quantum Computing information

See Stockton, CA salary details

$26.9K

$44.9K

$92.7K

How much do machine learning quantum computing jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning quantum computing in Stockton, CA is $44,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,500.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What job categories do people searching Machine Learning Quantum Computing jobs in Stockton, CA look for? The top searched job categories for Machine Learning Quantum Computing jobs in Stockton, CA are:
What cities near Stockton, CA are hiring for Machine Learning Quantum Computing jobs? Cities near Stockton, CA with the most Machine Learning Quantum Computing job openings:

Intelligence Analyst: Z Program

LLNL

Livermore, CA โ€ข On-site

Full-time

Retirement

Posted 23 days ago


Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have multiple openings for Scientific and Technical Intelligence Analysts to join an interdisciplinary team investigating topics critical to the national security interests of the United States. We seek creative, rigorous analysts with a demonstrated ability to evaluate complex technical information related to one or more scientific or engineering disciplines, and synthesize findings into clear, concise, and actionable insights.
Our teams perform high-impact analysis on advanced, emerging, and critical technologies and produce finished assessments for senior U.S. Government decision makers. In this role, you will apply strong research, analytic, writing, and communication skills to support sponsor priorities, engage with a wide variety of U.S. Government stakeholders, and contribute to project and organizational objectives. You will be expected to translate technical understanding into analytic judgments relevant to foreign capabilities, technology trajectories, and national security implications. You will leverage your expertise and experience in one or more of the following areas to deliver impactful analysis for national security partners: advanced computing, advanced aerospace, missile and space systems, artificial intelligence and machine learning, autonomous systems and robotics, biotechnology, materials science, microelectronics, and quantum sciences.
These positions are in the Science and Technology Assessments (STA) Program within the Global Security Directorate's Z Program and may be filled at the SES.2 or SES.3 level, depending on qualifications, experience, and demonstrated skills. Responsibilities will be assigned commensurate with the selected level.
These positions require full-time on-site presence due to the nature of the work.
In this role, you will
  • Contribute to independent research, under limited direction, on sensitive and politically significant national security topics, with a focus on advanced, emerging, and critical technologies.
  • Identify and define problems, propose analytic methodologies, collect data, write reports documenting results, and present analytic findings in support of sponsor and stakeholder objectives that adhere to intelligence community analytic standards.
  • Research, prioritize, and validate information related to assigned national security issues; maintain awareness of relevant technical, geopolitical, and policy developments.
  • Contribute to the development of a focused research agenda in assigned topic areas that addresses key science, technology, and policy questions.
  • Provide technical and analytic contributions to organizational objectives by presenting substantive analysis to sponsors, customers, and other stakeholders.
  • Collaborate effectively with internal and external subject matter experts, sponsors, and partners.
  • Travel as needed to engage with sponsors, stakeholders, and partner organizations.
  • Perform other duties as assigned.

Additional job responsibilities at the SES.3 level
  • Assist in identifying analytic priorities, defining problems, and proposing complex analytic research methodologies with minimal direction.
  • Conduct technical development of new program opportunities, including the definition and development of research proposals and interaction with potential sponsors and customers under minimal direction.
  • May lead multidisciplinary teams assigned to complex analytic tasks on relevant national security issues to inform the development of strategies and plans, and to meet programmatic objectives.
  • Represent the organization as a primary technical point of contact for intelligence related tasks and moderate-sized projects, balancing competing priorities effectively.

Qualifications
  • This position requires an active Department of Energy (DOE) Q-level clearance or active Top-Secret clearance issued by another U.S. government agency at time of hire. Also, you must have the ability to obtain and maintain Sensitive Compartmented Information (SCI) access.
  • Bachelor's degreein political science, international relations, or a relevant scientific or engineering discipline, or the equivalent combination of education and related experience.
  • Comprehensive experience working within or with the Intelligence Community (IC), or equivalent combination of education and experience conducting analysis on national security issues relatedto scientific and technical intelligence or advanced, emerging, and critical technologies.
  • Comprehensive experience in researching, assessing, and integrating science and technology information, including in collaboration with technical subject matter experts, in support of national security analysis.
  • Broad experience conducting research and producing analytical assessments on relevant national security issues under limited supervision, including in-depth studies, that effectively convey findings, implications, and judgements.
  • Proven ability to manage multiple assignments, adapt to changing priorities, and deliver high-quality work on deadlines.
  • Proficient verbal and written communication skills necessary to effectively collaborate in a team environment; author intelligence analyses; and present technical information clearly to sponsors, customers, and stakeholders.
  • Ability to travel as necessary to present analyses to sponsors and IC stakeholders as well as to meet with IC counterparts and sponsors.

Additional qualifications at the SES.3 level
  • Master's degree in political science, international relations, or a relevant scientific or engineering discipline, or the equivalent combination of education and related experience.
  • Advanced knowledge of, and significant experience working within or with, the Intelligence Community on scientific and technological issues.
  • Significant experience researching, assessing, and integrating science and technology information in support of national security analysis.
  • Significant experience producing high-quality analytical assessments including both detailed written products and concise products tailored for senior audiences.
  • Significant experience and proven ability to work effectively under deadlines, coordinate workloads on multiple projects simultaneously, and meet deadlines, with conflicting priorities.

Qualifications We Desire
  • Active Sensitive Compartmented Information (SCI) access.
  • Ph.D. in political science, international relations, or a relevant scientific or engineering discipline, or the equivalent combination of education and related experience, with demonstrated ability to perform independent work at an advanced level.
  • Extensive publication record in a relevant technical national security issue area, with demonstrated impact.
  • Combination of academic and/or professional experience in both complex technical subjects and national security and policy analysis.
  • Significant experience and proven track record of successfully managing and leading multidisciplinary project teams.
  • Advanced verbal and written communication and interpersonal skills necessary to effectively collaborate with internal and external teams, and to advise senior Laboratory management and external partners, sponsors, and stakeholders.
  • Experience evaluating technical information from international sources, and/or foreign language skills relevant to scientific and technical literature.

Pay Range
$146,340 - $222,564 Annually
$146,340 - $185,544 Annually for the SES.2 level
$175,530 - $222,564 Annually for the SES.3 level
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Additional Information
#LI-Remote
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
  • Included in 2026Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
This position requires an active Department of Energy (DOE) Q-level clearance or active Top Secret clearance issued by another U.S. government agency at time of hire. Also, you must have the ability to obtain and maintain Sensitive Compartmented Information (SCI) access. Please note that your current active Q or Top Secret clearance with DOE or another agency does not guarantee DOE SCI access approval; if you are denied access, you may be subject to reinvestigation of your existing Q or Top Secret Clearance.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
CaliforniaPrivacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .