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Quantum Machine Learning Engineer Jobs in Washington

INCA Engineering

Quantum SME

Springfield, VA · On-site

$86K - $114K/yr

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related quantum computing technologies) for difficult and narrowly defined technical problems in engineering ...

Core4ce

Quantum Engineer SME

Springfield, VA · On-site

$86K - $114K/yr

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related ... engineering and other scientific applications. * Ability to conduct trade studies and provide ...

INCA Engineering

Quantum SME

Alexandria, VA

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related quantum computing technologies) for difficult and narrowly defined technical problems in engineering ...

Core4ce

Quantum Engineer SME

Springfield, VA · On-site

$86K - $114K/yr

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related ... engineering and other scientific applications. * Ability to conduct trade studies and provide ...

INCA Engineering

Quantum SME

Washington, DC

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related quantum computing technologies) for difficult and narrowly defined technical problems in engineering ...

INCA Engineering

Quantum SME

Springfield, VA

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related quantum computing technologies) for difficult and narrowly defined technical problems in engineering ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

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All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Washington

Quantum Machine Learning Engineer information

See Washington salary details

$35.7K

$145.8K

$219.2K

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

As of Jun 25, 2026, the average yearly pay for quantum machine learning engineer in Washington is $145,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $175,600.00 per year, depending on experience, location, and employer.

What is the salary of quantum machine learning engineer?

The salary of a quantum machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum algorithms and programming languages like Python or Qiskit may offer higher compensation. Entry-level positions generally start around $80,000 to $100,000.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. These roles often require advanced degrees, certifications, and leadership responsibilities.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.

What is a Quantum Machine Learning Engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

Which 3 jobs will survive AI?

Quantum Machine Learning Engineers are likely to have resilient careers as their role combines advanced quantum computing and machine learning skills, which are less susceptible to automation. Jobs requiring complex problem-solving, creativity, and specialized expertise—such as data scientists, AI researchers, and cybersecurity analysts—are also expected to persist. These roles often involve tasks that are difficult for AI to fully automate and require ongoing human oversight and innovation.

How do Quantum Machine Learning Engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

What are the key skills and qualifications needed to thrive as a Quantum Machine Learning Engineer, and why are they important?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Washington? For Quantum Machine Learning Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning Engineer jobs in Washington look for? The top searched job categories for Quantum Machine Learning Engineer jobs in Washington are:
What cities in Washington are hiring for Quantum Machine Learning Engineer jobs? Cities in Washington with the most Quantum Machine Learning Engineer job openings:
Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in Washington as of June 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $145,843 per year, or $70.1 per hour.
Engineer, Machine Learning

Engineer, Machine Learning

Beyond SOF

Washington, DC

Other

Posted 8 days ago

Job description

Role Summary:
The Machine Learning Engineer is
responsible for developing and
implementing machine learning models
and algorithms to solve complex
problems.
Main Responsibilities and Duties:
Develop and implement machine
learning models and algorithms.
Collaborate with the engineering team to
integrate machine learning solutions into
projects.
Stay updated on the latest machine
learning technologies and trends.
Develop and implement quantum
machine learning models and
algorithms. Collaborate with quantum
engineers to integrate quantum
machine learning solutions into the
company's projects.

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