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Machine Learning Quantum Computing Jobs in Odenton, MD

Senior Data Scientist

Washington, DC · On-site

$148K - $263K/yr

Develop machine learning algorithms for User & Entity Behavior Analytics (UEBA). * Engineer ... Experience with post-quantum computing assessment/implementation Clearance Requirements: * Must be ...

Utilizing distributed computing frameworks and large-scale data processing tools; ML algorithm ... Advanced machine learning algorithms and techniques, including supervised, unsupervised, and ...

Senior Government Programs Manager

Washington, DC · On-site

$131K - $131K/yr

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a ...

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Machine Learning Quantum Computing information

See Odenton, MD salary details

$28.7K

$47.9K

$99K

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

As of Jul 13, 2026, the average yearly pay for machine learning quantum computing in Odenton, MD is $47,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,500.00 and $51,700.00 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, and why are they important?

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 cities near Odenton, MD are hiring for Machine Learning Quantum Computing jobs? Cities near Odenton, MD with the most Machine Learning Quantum Computing job openings:
Computational Scientist - Metasurfaces, Photonics, and Inverse Design

Computational Scientist - Metasurfaces, Photonics, and Inverse Design

The Johns Hopkins University Applied Physics Laboratory

Laurel, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Description

Do you enjoy pushing the limits of computational science for modeling physical systems?

Are you excited by the challenge of designing modern electromagnetic and photonic devices-driving the future of communications, sensing, and computing?

Do you thrive in a collaborative and interdisciplinary environment where ideas move from concept to fabrication, characterization, and real-world prototyping?

If so, we're looking for someone like you to join our team at APL!

We are seeking aComputational Research Scientistto contribute to ongoing research projects in topics such as RF/optical metasurfaces, integrated photonics, and quantum computing. In this role, you will be developing and applying computational models, simulations, and optimization algorithms for designing novel devices. Your work will help drive research from simulation and fabrication to characterization and real-world deployment. Because our research portfolio spans a variety of topics, success in this role requires curiosity, technical independence, and the ability to quickly learn new physics, methods, and tools from textbooks and scientific literature.

Our group consists of physicists and engineers who are passionate about developing innovative solutions for the future of advanced devices, materials, and systems. We value scientific excellence, continuous learning, and open collaboration in order to tackle high-risk, high-reward ideas! Opportunities for professional growth and mentorship are strongly supported.

As a Computational Scientist, your responsibilities will include:
  • Building simulations using both custom numerical models and commercial tools to design novel electromagnetic devices.
  • Developing and characterizing optimization algorithms, inverse-design methods, and computational design workflows
  • Taking ownership of design and analysis workflows by independently learning new programming tools, simulation frameworks, and theoretical concepts.
  • Reading scientific literature and applying emerging methods to open-ended research problems
  • Working closely with engineers and experimentalists to explore new phenomena, build prototypes, analyze data, and validate models against experimental data
  • Contributing to technical publications and conference presentations

Qualifications

You meet our minimum qualifications for the job if you...

  • Hold a Bachelor's degree in Physics, Electrical Engineering, or another field relevant to the duties as described above
  • Have at least a year of professional or postgrad experience
  • Have a foundational understanding in areas such as electromagnetics, optics, mathematical modeling, and computational science
  • Are proficient in programming languages such as Python as well as related packages for data analysis
  • Have demonstrated the ability to independently learn new technical topics, programming tools, or theoretical concepts through coursework, research, projects, or self-study.
  • Have experience on research projects in a collaborative environment
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

  • Hold a Master's degree in Physics, Electrical Engineering, or a closely related field
  • Have a strong background in electromagnetics, optics, or photonics, especially as related to metasurfaces, integrated photonics, tunable devices, or quantum computing hardware
  • Have experience using full-wave electromagnetic simulation software (e.g. CST, HFSS, Lumerical, MEEP/MPB, Tidy3D) or multiphysics software (e.g. COMSOL)
  • Have developed advanced optimization algorithms (e.g., inverse design, adjoint optimization, machine learning-driven design)
  • Have experience with numerical methods, PDE solvers, scientific computing, or physics-based simulation from first principles
  • Have experience working in high-performance computing (HPC) environments or developing scripted workflows for simulation or design automation
  • Have contributed to technical publications, conference presentations, or research proposals

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttps://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccessibility@jhuapl.edu.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.


Minimum Rate
$85,000 Annually
Maximum Rate
$195,000 Annually