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Quantum Machine Learning Jobs in Massachusetts (NOW HIRING)

Sr Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

... machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU.

... machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU.

Sr Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

... machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU.

Senior Research Scientist

Burlington, MA

$107K - $136K/yr

... machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing. This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU.

Head of Security

Cambridge, MA · On-site

$220K - $260K/yr

... the quantum of software development work. We're backed by multiple tier 1 investors, and have ... Deep expertise in machine learning security, vulnerability research, self-healing systems, and ...

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

... machine learning into our research and development. Our AI-enhanced, high-energy-density and high ... Apply expertise in atomistic simulation and quantum modeling to solve key challenges in ...

Showing results 41-60

Quantum Machine Learning information

See Massachusetts salary details

$27.8K

$46.5K

$96.1K

How much do quantum machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantum machine learning in Massachusetts is $46,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 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 technology advances, demand for experts in quantum algorithms and data analysis is expected to increase, making it a promising but highly specialized career path.

What are the key skills and qualifications needed to thrive in quantum machine learning?

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 does a quantum machine learning professional do?

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 a quantum machine learning?

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.

What are popular job titles related to Quantum Machine Learning jobs in Massachusetts?

For Quantum Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What cities in Massachusetts are hiring for Quantum Machine Learning jobs?

Cities in Massachusetts with the most Quantum Machine Learning job openings:

Infographic showing various Quantum Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,507 per year, or $22.4 per hour.

Postdoctoral Position in Particle Physics

Harvard University

Cambridge, MA • On-site

$67K - $80K/yr

Full-time

Posted 7 days ago


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 618 rated colleges and universities


Job description

Position
Details
Title
Postdoctoral Position in Particle Physics
School
Faculty of Arts and Sciences
Department/Area
Physics
Position Description
We invite applications for a Postdoctoral Fellow position in the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles' group on the development of new algorithms to encode and process particle physics data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics are both encouraged to apply.
Candidates with strong expertise in machine learning, quantum information, and/ or data analysis are strongly encouraged to apply, as these skills will be preferred in the selection process. This appointment duration is up to three years, with reappointment contingent upon funding and research collaboration. Please note that applications will be reviewed on a rolling basis and this position will remain open until filled, so a confirmation of decision may be somewhat delayed.
Applications should consist of a CV, a list of publications, and a statement of research interest. Please also provide three letters of recommendation, uploaded to this portal. Please email Molly Neylan (molly_neylan@fas.harvard.edu) with any questions.
Basic Qualifications
Candidates for this position must have completed their Ph.D. degree by the appointment start date; demonstrate outstanding research in particle physics appropriate to the level of the position.
Additional Qualifications
Special Instructions
Contact Information
Molly Neylan
Department of Physics
Faculty of Arts and Sciences
Harvard University
17 Oxford Street
Cambridge, MA 02138
Contact Email
molly_neylan@fas.harvard.edu
Salary Range
$67,600-$80,000
Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field
Minimum Number of References Required
3
Maximum Number of References Allowed
3
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