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Quantum Machine Learning Jobs (NOW HIRING)

Leland

Quantum Computing Coach

$17 - $22/hr

This role includes teaching core skills in quantum algorithms and programming, quantum hardware and systems, quantum cryptography and security, and quantum machine learning, as well as guiding ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

... quantum machine learning). • Develops and publishes research findings in the form of presentations and conference papers. • Conducts research on machine learning and develops innovative or ...

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$25.5K

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How much do quantum machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for 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.

Is quantum machine learning a good career?

Quantum machine learning is an emerging field combining quantum computing and machine learning, with growing research and industry interest. Careers in this area typically require strong backgrounds in quantum physics, computer science, and programming skills, often involving specialized tools like quantum algorithms and hardware. As the field develops, demand for experts is expected to increase, making it a promising career path for those with relevant expertise.

Which 3 jobs will survive AI?

Quantum machine learning professionals, data scientists, and software engineers are likely to continue thriving as AI advances, due to their specialized skills in developing, understanding, and managing complex algorithms and quantum computing tools. These roles require critical thinking, domain expertise, and adaptability to evolving technologies, making them less susceptible to automation. Continuous learning and certification in AI and quantum technologies can further enhance job security in these fields.

What are the key skills and qualifications needed to thrive in the Quantum Machine Learning position, and why are they important?

To thrive in Quantum Machine Learning, you need a solid background in quantum physics, machine learning, linear algebra, and programming—often supported by a graduate degree in a related field. Familiarity with quantum computing frameworks such as Qiskit or Cirq, and experience with conventional ML libraries like TensorFlow or PyTorch are typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals stand out. Mastery of these skills and qualities is essential for tackling complex interdisciplinary challenges and driving innovation in this rapidly evolving field.

What types of projects or problems does a Quantum Machine Learning professional typically work on?

Quantum Machine Learning professionals often work on exploratory projects at the intersection of quantum computing and artificial intelligence, such as developing new algorithms that leverage quantum hardware for faster data processing or optimizing classical ML models using quantum techniques. Daily tasks may include designing experiments, simulating quantum systems, analyzing results, and collaborating with physicists and software engineers. The work can range from foundational research to applied development, depending on the organization's focus. These roles frequently involve teamwork and staying updated on emerging academic and industry advances to ensure innovative problem-solving approaches.

What is the salary of quantum machine learning?

Salaries for quantum machine learning professionals vary based on experience, education, and location, but typically range from $80,000 to over $150,000 annually. Entry-level roles may start lower, while experienced researchers or specialists with advanced skills in quantum computing and machine learning can earn higher salaries. Many positions also offer benefits such as research funding and access to cutting-edge technology.

What is a Quantum Machine Learning job?

A Quantum Machine Learning (QML) job involves applying principles of quantum computing to machine learning tasks. Professionals in this field develop algorithms that leverage quantum systems to improve computational efficiency and solve complex problems faster than classical methods. Responsibilities often include researching quantum algorithms, implementing quantum circuits, and working with tools like Qiskit or TensorFlow Quantum. These roles are typically found in research labs, tech companies, and startups exploring the intersection of AI and quantum technology. Strong backgrounds in quantum mechanics, linear algebra, and computer science are essential.

Is Q-Ctrl a real company?

Q-Ctrl is a real company that specializes in quantum control solutions and software for quantum computing. It provides tools and expertise to help improve qubit performance and error correction in quantum systems, which can be relevant for professionals in quantum machine learning roles.
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Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior Quantum Algorithm Developer

Senior Quantum Algorithm Developer

Tyto Athene, LLC

Reston, VA • Hybrid

$190K - $230K/yr

Full-time

Posted 5 days ago

Tyto Athene rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

131st of 230 rated it services

Job description

Tyto Athene is seeking a Senior Quantum Algorithm Developer to develop quantum computing workloads for mission-critical operations supporting the U.S. Federal Government, Department of Defense (DoD), Intelligence Community (IC), and National Security sectors. This role is ideal for a technically strong quantum computing professional who is passionate about translating advanced quantum algorithms into practical solutions for real-world mission challenges.

The successful candidate will contribute to the design, development, and evaluation of quantum algorithms that support the industry's transition from Noisy Intermediate-Scale Quantum (NISQ) systems to Fault-Tolerant Quantum Computing (FTQC). Working alongside engineers, scientists, and mission stakeholders, this individual will help bridge the gap between theoretical quantum computing concepts and deployable applications for defense and intelligence missions.

Key Responsibilities: Adapt existing quantum algorithm development techniques to mission-specific use cases; lead technical workstreams; design, implement, and optimize quantum algorithms for NISQ and FTQC architectures; mentor junior developers; contribute to technical publications, patent filings, and proposal efforts; and help curate and evolve the quantum algorithm curriculum for Tyto's Quantum Community of Practice, supporting internal knowledge sharing and technical development.

Quantum Algorithm Development

  • Design, develop, and optimize quantum and hybrid classical-quantum algorithms for mission-relevant applications.
  • Implement quantum algorithms using leading quantum software development frameworks and hardware platforms.
  • Collaborate with cross-functional engineering teams to integrate quantum solutions into broader software and mission architectures.
  • Develop and evaluate Quantum Approximate Optimization Algorithms (QAOA), Variational Quantum Eigensolvers (VQE), Quantum Machine Learning (QML), Quantum Fourier Transform (QFT), Grover's Search, and other quantum algorithms as appropriate for mission requirements.
  • Contribute to the development of fault-tolerant algorithms that support hybrid classical-quantum workflows.

Research & Technical Innovation

  • Research emerging quantum algorithms, architectures, and development frameworks.
  • Evaluate new quantum hardware and software capabilities to determine applicability to customer use cases.
  • Model qubit performance and contribute to error mitigation and quantum error correction efforts.
  • Prototype and benchmark quantum solutions across multiple quantum computing platforms.

Collaboration

  • Work closely with software engineers, mathematicians, physicists, and government stakeholders to translate mission requirements into quantum solutions.
  • Participate in technical reviews, proof-of-concept demonstrations, and customer engagements.
  • Document designs, research findings, and implementation approaches.
  • Contribute to internal innovation initiatives, technical papers, and proposal efforts.
 

Required

  • PhD or Master's degree in Quantum Physics, Quantum Information Science, Computer Science, Applied Mathematics, or a related technical field.
  • 5–8+ years of experience developing quantum algorithms or quantum software.
  • Experience developing quantum or hybrid classical-quantum algorithms targeting practical use cases.
  • Proficiency with one or more quantum development frameworks such as:
    • Qiskit
    • PennyLane
    • Cirq
    • CUDA-Q
    • Amazon Braket
  • Experience programming in Python.
  • Understanding of quantum computing fundamentals, including:
    • Quantum circuits
    • Quantum gates
    • Quantum optimization
    • Quantum emulation
    • Variational algorithms
  • Familiarity with NISQ-era devices and techniques for error mitigation or quantum error correction.
  • Strong analytical and problem-solving skills.
  • U.S. Citizenship with the ability to obtain a security clearance due to federal-facing programs.

Desired

  • Active Secret or Top Secret security clearance.
  • Experience supporting DoD, Intelligence Community, DOE, AFRL, DARPA, or other federal research organizations.
  • Experience with quantum optimization (QUBOs), QAOA, VQE, or quantum machine learning.
  • Familiarity with high-performance computing (HPC), GPU computing, or hybrid computing architectures.
  • Publications, patents, or open-source contributions related to quantum computing.
  • Experience working in Agile software development environments.

Compensation:

  • Compensation is unique to each candidate and relative to the skills and experience they bring to the position. The salary range for this position is typically between $190,000 and $230,000. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range.
Tyto Athene is a trusted leader in IT services and solutions, delivering mission-focused digital transformation that drives measurable success. Our expertise spans four core technology domains—Network Modernization, Hybrid Cloud, Cybersecurity, and Enterprise IT—empowering our clients with cutting-edge solutions tailored to their evolving needs. With over 50 years of experience, Tyto Athene proudly support Defense, Intelligence, Space, National Security, Civilian, Health, and Public Safety clients across the United States and worldwide. 
 
At Tyto Athene, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamTyto? 
 
Tyto Athene, LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.

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