1

Ibm Quantum Machine Learning Jobs (NOW HIRING)

Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines. * Build software layers ...

Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines. * Build software layers ...

We're looking for a Machine Learning Engineer who can operate at the intersection of backend ... Experience with relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB) * Familiarity with ...

next page

Showing results 1-20

Ibm Quantum Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of Jul 17, 2026, the average yearly pay for ibm quantum machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is IBM Quantum Machine Learning?

IBM Quantum Machine Learning refers to the use of quantum computing technologies, developed by IBM, to solve machine learning problems. It involves leveraging quantum algorithms and quantum hardware to process and analyze data in ways that are often infeasible for classical computers. This field explores how quantum computers can offer speed-ups or new capabilities in areas such as classification, clustering, and optimization. IBM provides tools like Qiskit Machine Learning to help researchers and developers experiment with quantum-enhanced machine learning models. The aim is to unlock new possibilities in artificial intelligence by integrating quantum computing into the machine learning workflow.

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

AspectIbm Quantum Machine LearningData Scientist
Required CredentialsBackground in quantum computing, machine learning, and programming languages like PythonDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, tech companies, or academic institutions focusing on quantum algorithms and AIBusiness environments, tech firms, or consulting agencies analyzing data for insights
Industry UsageEmerging field combining quantum computing and machine learning applicationsWidely used across industries for data analysis, predictive modeling, and decision-making

While both roles involve machine learning, Ibm Quantum Machine Learning focuses on developing algorithms that leverage quantum computing, requiring specialized knowledge in quantum mechanics and programming. Data Scientists analyze large datasets using classical computing tools. The roles differ mainly in technical focus and tools used, but both are integral to advancing AI and data-driven solutions.

What are the key skills and qualifications needed to thrive as an IBM Quantum Machine Learning Specialist, and why are they important?

To thrive as an IBM Quantum Machine Learning Specialist, you need a strong background in quantum computing, machine learning algorithms, and programming languages like Python, often supported by a degree in computer science, physics, or related fields. Familiarity with IBM Quantum Experience, Qiskit, and cloud-based quantum computing platforms is typically required, along with knowledge of classical ML frameworks such as TensorFlow or PyTorch. Strong problem-solving skills, collaboration, and the ability to communicate complex concepts clearly are standout soft skills in this role. These skills are crucial for developing, optimizing, and deploying quantum-enhanced machine learning solutions in interdisciplinary teams and advancing cutting-edge research.

What are some common challenges faced when working in IBM Quantum Machine Learning roles, and how can they be addressed?

Professionals in IBM Quantum Machine Learning often encounter challenges such as limited access to advanced quantum hardware, the steep learning curve associated with quantum algorithms, and the need to bridge classical and quantum computing concepts. To address these, team members frequently collaborate with experts in both quantum physics and machine learning, leverage cloud-based quantum systems like IBM Quantum Experience, and participate in ongoing training. Adapting to rapid technological advancements and staying updated with the latest research are also essential for success in this evolving field.
What are the most commonly searched types of Ibm Quantum Machine Learning jobs? The most popular types of Ibm Quantum Machine Learning jobs are:
Postdoctoral Researcher: Quantum Algorithm Engineering for Hamiltonian Simulation

Postdoctoral Researcher: Quantum Algorithm Engineering for Hamiltonian Simulation

Los Alamos National Laboratory

Los Alamos, NM

$97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 105 rated laboratories


Job description

What You Will Do
The Information Sciences Group (CAI-3) in the Computing and Artificial Intelligence Division at Los Alamos National Laboratory is seeking outstanding candidates for a postdoctoral research associate position at the intersection of quantum computing, quantum algorithms, and quantum machine learning with a focus on simulation of many-body quantum systems through Hamiltonian simulation and optimization problems.
Successful candidates will join a multidisciplinary team advancing quantum simulations by combining theoretical and computational methods. A central goal is to develop novel analytical tools and new workflows to leverage existing AI tools to analyze and optimize quantum algorithms for fault-tolerant quantum computers. The postdoctoral researcher will also explore the development of new quantum algorithms and discover new quantum computing use cases.
What You Need
Minimum Job Requirements:
  • A Ph.D. in Computer Sciences, Mathematics, Materials Science, or related physical sciences, completed within the last 5 years.
  • Programming and simulation experience (Python, Julia, etc.)
  • Demonstrated experience in conducting original scientific research through peer-reviewed publication records.
  • Excellent communication and writing skills.

Desired Qualifications:
In addition to the minimum requirements, the following qualifications are desired, and preference will be given to candidates satisfying (at least one) of them:
  • Solid background in quantum algorithms, quantum computation, quantum information, and quantum communication.
  • Demonstrated experience in quantum simulation techniques (preferably with tensor networks but other methods such as Monte Carlo, Pauli Propagation, etc.., are welcome).
  • Experience with fault-tolerant quantum simulations of many-body systems.
  • Experience with High Performance Computing (HPC) or GPU programming.
  • The ability to work creatively and independently as well as learn and collaborate with experts as a part of a diverse multi-disciplinary team.
  • Hands-on experience running experiments on cloud-based quantum devices.
  • Ability to adapt to new requirements for projects and be flexible enough to learn new concepts

Outstanding candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious Darleane Hoffman, Richard P. Feynman, or J. Robert Oppenheimer Fellowships. For general information refer to the Postdoctoral Program webpage.
Work Environment:
Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
  • The appointment is for a duration of two years, with the possibility of a third-year extension based on performance evaluation.
  • Candidates may be considered for a fellowship supported by the Center for Nonlinear Studies (CNLS). Outstanding candidates may be considered for a Director's Postdoc Fellowship or for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
  • For more information about the Postdoc Program, please go to https://www.lanl.gov/engage/collaboration/postdoctoral-research

Contact:
  • Stephan Eidenbenz (eidenben@lanl.gov)

Salary:
Competitive salaries are based on the date the PhD degree requirements were completed, or the degree was awarded. Starting salary for a fresh PhD is currently $97,000. For more information go to Postdoc Program website at https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)

Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage.
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated.

Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.

What Los Alamos National Laboratory employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom