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Quantum Machine Learning Jobs in Boston, MA (NOW HIRING)

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

... machine learning. Prototype, document, and evaluate end-to-end workflows that demonstrate the ... Familiarity with quantum computing concepts and hardware architectures (neutral atom, trapped ion ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

Partner with internal researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

... machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale processes in catalysis and ...

The website

Postdoctoral Research Associate

Boston, MA · On-site

$60.31 - $85.19/hr

... machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale processes in catalysis and ...

New

MIT Human Resources

Research Scientist 1

Cambridge, MA · On-site

... machine-learning-assisted design and AI-driven optimization of quantum systems, in collaboration with the broader research team. In collaboration with PI, conducts theoretical and computational ...

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All JobsQuantum Machine Learning JobsQuantum Machine Learning Jobs in Boston, MA

Quantum Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do quantum machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantum machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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 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 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.

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.

What are popular job titles related to Quantum Machine Learning jobs in Boston, MA?

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

What job categories do people searching Quantum Machine Learning jobs in Boston, MA look for?

The top searched job categories for Quantum Machine Learning jobs in Boston, MA are:

Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Quantum Imaging & Algorithms Scientist (Boston)

enable Technology

Boston, MA • On-site

$180K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Overview

Get AI-powered advice on this job and more exclusive features.

This range is provided by enable Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $240,000.00/yr

Next-gen optical hardware for Space/Earth Observation and Advanced Manufacturing.

Backed by VCs, Government Agencies and top Universities.

Equity options in a brand-new startup as a founding team member!

We’ve teamed up with a next-gen optical hardware startup, who are revolutionizing AI imaging with intelligent vision developed through breakthrough quantum technology. Backed by VC, DARPA, NASA and founded through MIT & Harvard research, they provide the world’s highest resolution imaging system, capable of seeing 20x further than any camera in known existence.

Having launched earlier this year, they’re looking for a Lead Research Scientist to build a first-of-its-kind hardware prototype that will be shot into Low Earth Orbit. They’re building their hub near Cambridge (MA), with this position likely to evolve into a senior technical leadership role as the business scales up.

Please note that this position can only support US Green Card holders, and cannot offer sponsorship.

Responsibilities

As their first algorithms hire, you will require an extensive background in quantum optics and information theory. Working closely with the CTO and eventual optical engineering team, you’ll build simulations and algorithms to optimize the imaging & sensing systems for their initial prototype. This involves calculating fundamental quantum limits of various imaging/sensing scenarios, building & testing models, conducting simulations and developing/optimizing algorithms to ensure a functional prototype. You’ll develop ML and statistical tooling for object classification, state detection or parameter estimation, as well as developing algorithms to extract data from photons. Whilst the initial project is focused on Space/Earth observation, long-term, they will expand into areas like robotics and advanced manufacturing, so adaptability and pace is key.

Qualifications
  • PhD (or Masters with industry experience) in Physics, Electrical/Optical Engineering, Computer Science, Mathematics or similar, with a focus on quantum optics and/or quantum information theory.
  • 5+ years of experience in the research of Quantum Optics or Quantum Information Theory.
  • Strong proficiency in programming languages for simulations (Python, MATLAB, R).
  • Deep understanding of quantum optics concepts (photon statistics, entanglement, interferometry).
  • Deep understanding of information theory and communication protocols.
  • Experience developing and implementing numerical algorithms.
  • Experience with machine learning algorithms.
  • Experience with optical neural networks modeling and simulation.
  • Experience with optical hardware and experimental work.
  • Experience in Defense and/or Space technologies.
Benefits

On top of a competitive salary in line with your experience (+ equity), the business offers a matched 401(k), medical, dental and vision coverage from day one, private health insurance, as well as generous PTO. They have a mature approach to flexible working, supporting personal circumstances where possible, and also offer fantastic equity options, as an early-stage member of the team and technical leader for their first functional prototype.

Not only that, but you’ll be a part of truly transformative technology for the Defense and Space industries!

Application

Interested? Please send your resume to joe@enable-technology.io to be considered!

Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Science, Engineering, and Research
  • Industries: Nanotechnology Research, Space Research and Technology, and Defense and Space Manufacturing
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