ZipRecruiter

Log In

1

Quantum Machine Learning Jobs in Massachusetts (NOW HIRING)

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.

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

$60K - $85K/yr

Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical properties of macromolecules, developing ...

NorthEastern

Postdoctoral Research Associate-1

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 ...

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 ...

NorthEastern

Research Scientist

Burlington, MA

... 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.

Northeastern University

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.

previous pagenext page

Showing results 21-40

All JobsQuantum Machine Learning JobsQuantum Machine Learning Jobs in Massachusetts

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 Jul 26, 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 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.
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 job categories do people searching Quantum Machine Learning jobs in Massachusetts look for? The top searched job categories for Quantum Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Quantum Machine Learning jobs? Cities in Massachusetts with the most Quantum Machine Learning job openings:
Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $46,507 per year, or $22.4 per hour.
Quantum Calibration Engineer, Quantum Computing Services

Quantum Calibration Engineer, Quantum Computing Services

QuEra Computing, Inc.

Boston, MA • On-site

$120K - $180K/yr

Full-time

Posted 8 days ago

Job description

Quantum Calibration Engineer, Quantum Computing Services
Summary:
QuEra is seeking Quantum Calibration Engineers to join a growing effort focused on developing, testing and deploying calibration and performance characterization software on QuEra's neutral-atom quantum computers, translating experimental physics and data analysis into automation. This is a critical effort towards achieving programmability, reliability and peak performance of these machines for research, application development and commercial uses. Your work will directly shape how QuEra's quantum computers are characterized, stabilized, and improved over time, laying the foundation for scalable, self-calibrating quantum platforms.
In this role, you will work closely with physicists, software engineers, hardware specialists and actual quantum computers across QuEra's global sites. You will be responsible for designing efficient measurements of key system parameters, developing robust data-analysis pipelines, and building tools that translate raw experimental results into actionable insights for machine optimization.
This role is part of QuEra's Quantum Computing Services team and is based at QuEra's Boston headquarters. The team's mission is to develop QuEra's neutral-atom technology into cutting-edge quantum computing products and services.
Core Responsibilities
  • Design data-efficient experimental routines, robust data analyses and troubleshooting workflows to extract key system parameters and insights.
  • Develop, refine, and maintain calibration pipelines consisting of complex data flows.
  • Develop robust data-fitting and optimization routines.
  • Validate, document and track calibration results, ensuring reproducibility and traceability across different hardware and software generations, and across machine deployments.

Qualifications
Required
  • Strong proficiency in Python, including experience with data analysis and visualization libraries (e.g., NumPy, SciPy, Pandas, Matplotlib).
  • Hands-on experience working with real experimental or measurement data, including noise handling, curve fitting, and model validation.
  • Familiarity with optimization and regression techniques, both classical (e.g., least-squares, nonlinear fits) and statistical (e.g., Bayesian inference, parameter estimation).
  • Comfort working in a hardware-facing environment, integrating software with lab instruments, data acquisition systems, or experimental control frameworks.
  • Solid understanding of version control (Git) and structured software development practices (testing, modularity, documentation).
  • Strong problem-solving ability, scientific curiosity, and a willingness to learn new physical systems quickly.
  • Eager to grow from a capable engineer into a domain expert in quantum device
  • Enjoys hands-on experimentation, iteration, and uncovering structure in data.
  • Comfortable working across abstraction layers, from analyzing raw voltage traces to designing experiment-level calibration strategies.
  • Collaborative and adaptable; able to operate in an interdisciplinary environment spanning science, software, and hardware teams.

Nice to have
  • Experience with machine learning or data-driven modeling (e.g., for pattern recognition, drift prediction, or parameter inference).
  • Exposure to experimental physics or optics in a lab environment.
  • Theory and practice of control systems.
  • Familiarity with Kubernetes, Docker, or distributed analysis systems for scaling calibration and data pipelines.
  • Knowledge of signal processing and time-series analysis for extracting trends or correlations in data.
  • Proficiency in C or C++.

Education & Experience
  • Bachelor's or Master's degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or a related quantitative field.
  • Candidates with diverse or nontraditional backgrounds who demonstrate strong programming and analytical skills are encouraged to apply.
  • Experience or exposure to experimental research, data-driven system optimization, or hardware-software integration (through research, internships, or personal projects) is a strong plus.

The approximate base salary range for this position is $120,000 - $180,000.
We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.
#LI-DA1
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Apply