Machine learning or probabilistic modeling * Quantum computing or advanced optimization techniques * Topological data analysis or geometric data methods * Prior research, publications, or project ...
Quick apply
Machine learning or probabilistic modeling * Quantum computing or advanced optimization techniques * Topological data analysis or geometric data methods * Prior research, publications, or project ...
Machine learning or probabilistic modeling * Quantum computing or advanced optimization techniques * Topological data analysis or geometric data methods * Prior research, publications, or project ...
Quick apply
Machine learning or probabilistic modeling * Quantum computing or advanced optimization techniques * Topological data analysis or geometric data methods * Prior research, publications, or project ...
Machine learning or probabilistic modeling * Quantum computing or advanced optimization techniques * Topological data analysis or geometric data methods * Prior research, publications, or project ...
Quick apply
Machine learning or probabilistic modeling * Quantum computing or advanced optimization techniques * Topological data analysis or geometric data methods * Prior research, publications, or project ...
AI for Quantum Operations Lead
Boston, MA · On-site
Translate machine-performance pain points into measurable AI/ML objectives such as reduced ... Experience with Bayesian optimization, active learning, time-series forecasting, computer vision ...
AI for Quantum Operations Lead
Boston, MA · On-site
Translate machine-performance pain points into measurable AI/ML objectives such as reduced ... Experience with Bayesian optimization, active learning, time-series forecasting, computer vision ...
Postdoctoral Position in Particle Physics
Cambridge, MA · On-site
$67K - $80K/yr
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 ...
Postdoctoral Position in Particle Physics
Cambridge, MA · On-site
$67K - $80K/yr
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 ...
Head of Cryptography, MD
Quincy, MA · On-site
... quantum computing risks. This executive will partner closely with Infrastructure, Cloud Engineering ... AI and machine learning environments Enable engineering teams through reusable services, APIs ...
Head of Cryptography, MD
Quincy, MA · On-site
... quantum computing risks. This executive will partner closely with Infrastructure, Cloud Engineering ... AI and machine learning environments Enable engineering teams through reusable services, APIs ...
Head of Cryptography, MD
Quincy, MA · On-site
... quantum computing risks. This executive will partner closely with Infrastructure, Cloud Engineering ... AI and machine learning environments Enable engineering teams through reusable services, APIs ...
Head of Cryptography, MD
Quincy, MA · On-site
... quantum computing risks. This executive will partner closely with Infrastructure, Cloud Engineering ... AI and machine learning environments Enable engineering teams through reusable services, APIs ...
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.
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.
Research Scientist
Burlington, MA · On-site
... 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.
Research Scientist
Burlington, MA · On-site
... 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.
Research Scientist
Burlington, MA · On-site
... 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.
Research Scientist
Burlington, MA · On-site
... 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.
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 · 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 · 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 · 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 · 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.
You will use first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate complex materials with direct relevance to superconductors, quantum ...
You will use first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate complex materials with direct relevance to superconductors, quantum ...
Associate Recruiter
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Associate Recruiter
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Recruitment Consultant - Entry Level
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Recruitment Consultant - Entry Level
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Candidate Consultant
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Candidate Consultant
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Graduate Recruitment Consultant
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Graduate Recruitment Consultant
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Candidate Consultant - Technology Recruitment
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Candidate Consultant - Technology Recruitment
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
2026 Graduate Recruiter (Summer start)
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
2026 Graduate Recruiter (Summer start)
Boston, MA · On-site
$50K/yr
... Machine Learning, Hardware Acceleration, Silicon Photonics and Quantum Computing. We're looking for an ambitious Candidate Consultant to join our growing Boston team. Working alongside experienced ...
Quantum Machine Learning information
See Massachusetts salary details
$27.8K - $34.1K
5% of jobs
$36.1K is the 25th percentile. Wages below this are outliers.
$34.1K - $40.3K
59% of jobs
$40.3K - $46.5K
9% of jobs
$46.9K is the 75th percentile. Wages above this are outliers.
$46.5K - $52.7K
17% of jobs
$52.7K - $58.9K
4% of jobs
$58.9K - $65.1K
2% of jobs
$65.1K - $71.3K
3% of jobs
$71.3K - $77.5K
0% of jobs
$77.5K - $83.7K
0% of jobs
$83.7K - $89.9K
0% of jobs
$89.9K - $96.1K
0% of jobs
$27.8K
$46.5K
$96.1K
How much do quantum machine learning jobs pay per year?
As of Sep 4, 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.
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 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:
- Senior Meta Machine Learning
- Remote Computer Science Graduate
- Privacy Preserving Machine Learning
- Apple Machine Learning Engineer
- Connectomics
- Freelance Artificial Intelligence Machine Learning
- Masters Computer Science
- Computer Science Data Science
- Reinforcement Learning Engineer
- Reinforcement Learning Robotics
What cities in Massachusetts are hiring for Quantum Machine Learning jobs?
Cities in Massachusetts with the most Quantum Machine Learning job openings:
Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics
Cambridge, MA • On-site
Full-time
Re-posted 29 days ago
Key responsibilities
Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches
Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk
Design and implement analytical tools and pipelines using Python and SQL
Job description
Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)
Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
- Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches
- Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk
- Design and implement analytical tools and pipelines using Python and SQL
- Contribute to model validation, backtesting, and performance evaluation
- Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure
- Communicate complex quantitative insights through clear visualizations and technical summaries
- Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics
Required Qualifications
- Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)
- Strong foundation in probability, statistics, and numerical methods
- Proficiency in Python (NumPy, pandas, or similar) and/or SQL
- Experience working with large datasets and implementing quantitative models
- Ability to think rigorously about complex systems and translate theory into practical solutions
Preferred Qualifications
- Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)
- Experience with scientific computing, optimization, or machine learning
- Background or research in cross-disciplinary areas such as:
- Statistical physics, complex systems, or network theory
- Applied or computational mathematics
- Machine learning or probabilistic modeling
- Quantum computing or advanced optimization techniques
- Topological data analysis or geometric data methods
- Prior research, publications, or project work demonstrating advanced quantitative modeling
What You’ll Gain
- Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics
- Opportunity to apply cutting-edge academic methods in a production environment
- Collaboration with a highly quantitative, cross-disciplinary team
- Experience working with large-scale financial data and modern analytics infrastructure
- Mentorship and potential pathway to full-time quantitative roles
Duration & Compensation
- Internship: Summer 2026, with potential to extend
- Paid internship (competitive, based on experience and location)