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Machine Learning Quantum Computing Jobs in Ashburn, VA

Microsoft

Principal Quantum Hardware Engineer

Reston, VA · On-site

... learning and advance Microsoft's path toward useful quantum computing. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come ...

New

ManTech International

Cyber Threat Lead

Chantilly, VA · On-site

$148K - $263K/yr

... Post-Quantum Computing readiness. Responsibilities include but not limited to: * Execute a ... Incorporate Data Science modeling and machine learning into daily hunt operations. * Identify and ...

Tyto Athene, LLC

Quantum Solutions Strategist

Reston, VA · On-site

$190K - $230K/yr

... computing solutions, with 5+ meaningful engagement wins to show for it * 10+ years driving ... The world the mission operates in is going post-quantum, contested, and machine-speed. Quantum Sky ...

New

Tyto Athene, LLC

Quantum Solutions Strategist

Reston, VA · On-site

$190K - $230K/yr

... computing solutions, with 5+ meaningful engagement wins to show for it * 10+ years driving ... The world the mission operates in is going post-quantum, contested, and machine-speed. Quantum Sky ...

New

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Showing results 21-40

All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Ashburn, VA

Machine Learning Quantum Computing information

See Ashburn, VA salary details

$26.1K

$43.5K

$90K

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

As of Aug 7, 2026, the average yearly pay for machine learning quantum computing in Ashburn, VA is $43,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 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 Ashburn, VA look for? The top searched job categories for Machine Learning Quantum Computing jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Machine Learning Quantum Computing jobs? Cities near Ashburn, VA with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you

Lead Quantum Algorithms Scientist - US

Phasecraft

Washington, DC

$150K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol in the UK and opened an office in Washington DC in 2024, led by Steve Flammia. In 2023 we completed a $17m Series A funding round led by leading Silicon Valley deep tech VC, Playground Global.

Phasecraft's unprecedented access to today's best quantum computers - through partnerships with Google, IBM, Quantinuum and QuEra - provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialization of high-value breakthroughs.

We are looking to hire a Lead Quantum Algorithms Scientist to join our team in Washington DC. In this newly created role, you will play a key role in guiding and coordinating the US team's research efforts, working closely with the Head of the US office and the senior science team at Phasecraft. The ideal candidate will have extensive experience in leading research direction in the theory of algorithms for gate-model quantum computers or related topics in quantum computing theory, quantum information theory or related areas of quantum theory. Their work will contribute to Phasecraft's goal of developing quantum algorithms for near-term quantum computers, and may encompass topics such as algorithm design, optimization and implementation,  quantum error-correction, resource analysis, error mitigation, and hardware benchmarking. They will have the opportunity to direct and grow a portfolio of research activity across the breadth of Phasecraft's interests.

Job Description

  • Lead and mentor a talented team of scientists undertaking theoretical and/or applied research on near-term quantum computing algorithms, applications and/or enabling theoretical technologies.
  • Lead the team to deliver publications, presentations, patent applications and similar resulting from the research.
  • Manage and mentor team members in their scientific and professional career development.
  • Identify and drive new research directions ensuring alignment with the company's overall science strategy.
  • Promote an environment of collaboration across a small international team made up of full-time staff and affiliated PhD students.
  • Other activities as required to support the growth and success of Phasecraft.

Requirements

Essential Criteria

  • Expertise in quantum information and/or computation theory.
  • PhD  in quantum information, quantum computation theory, computer science, physics, or closely related field.
  • Proven track record of working independently and leading a team on research projects.
  • Deep expertise and an excellent publication track-record in relevant discipline.
  • Demonstrable experience in leading multiple complex and collaborative scientific research projects.
  • Experience in developing and growing a team of scientists, promoting an appropriate culture for continuous improvement and knowledge exchange.
  • Excellent written and verbal communication skills and the ability to disseminate research results to technical and non-technical audiences.
  • A deep understanding of the requirements of different funding sources, and the ability to lead efforts and independently write effective grant applications.
  • Flexibility to work across different aspects of quantum software and underpinning theory.
  • Flexibility to work on other tasks required to support the growth and success of the company.
  • An interest in near-term quantum computing.

Desirable criteria

  • Either experience of implementing algorithms on quantum hardware and/or in classical emulation, or strong theoretical/mathematical research track-record with an interest in applying this to quantum computing, or software development skills and experience.
  • Enthusiasm for learning and novel research.

Benefits

  • The annual compensation range for this role is $150,000 - $210,000, depending on experience.
  • Health, Vision, Dental, Life Insurance.
  • 401(k) Plan with company matching.
  • Unlimited annual leave.

Apply