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Quantum Machine Learning Engineer Jobs in Boston, MA

QuEra Computing, Inc.

Quantum Machine Builder

Boston, MA · On-site

$135K - $185K/yr

Senior Quantum Machine Builder QuEra Computing is seeking strong candidates for a Quantum Machine ... Candidates with degrees in Physics, Engineering, or related fields, including those with ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new ...

Manulife

Machine Learning Engineer

Boston, MA · Hybrid

$162K/yr

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems; * Develop and deploy backend services and ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Capital One

Lead Machine Learning Engineer (IC)

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

XPO

Machine Learning Engineer - Hybrid

Boston, MA

$100K - $120K/yr

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

XPO

Machine Learning Engineer - Hybrid

Boston, MA

$100K - $120K/yr

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

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

Quantum Machine Learning Engineer information

See Boston, MA salary details

$34.2K

$139.9K

$210.2K

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

As of Sep 2, 2026, the average yearly pay for quantum machine learning engineer in Boston, MA is $139,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $168,400.00 per year, depending on experience, location, and employer.

What is a quantum machine learning engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area 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 Engineer jobs in Boston, MA?

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

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

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

What cities near Boston, MA are hiring for Quantum Machine Learning Engineer jobs?

Cities near Boston, MA with the most Quantum Machine Learning Engineer job openings:

Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $139,895 per year, or $67.3 per hour.

Quantum Machine Builder

QuEra Computing, Inc.

Boston, MA

$135K - $185K/yr

Full-time

Re-posted 11 days ago

Job description

Job position: Senior Quantum Machine Builder

QuEra Computing is seeking strong candidates for a Quantum Machine Build role to serve as an individual contributor to the company's mission of building state-of-the-art, manufacturable, and deployable neutral atom quantum computers.

To accomplish this mission, we are looking to hire a candidate with education (PhD preferred) in engineering, applied physics, or a related field, and at least 3 years of relevant work experience. The ideal candidate will bring a strong background in quantum physics and quantum computing, with hands-on experience working in a quantum optics laboratory. They should be proficient in coding, able to solve problems independently, and eager to learn new concepts and technologies. Curiosity, adaptability, and effective cross-team communication are essential. This role is fully on-site and requires a blend of deep scientific knowledge with practical experimental skills.

Candidates with degrees in Physics, Engineering, or related fields, including those with postdoctoral training, are welcome to apply. Applicants should demonstrate sufficient professional experience, whether gained through postdoctoral research or through work in an enterprise engineering/R&D environment, to establish themselves independently as a senior-level expert.

In this role, you will be working cross-functionally with our Science, Hardware Engineering, and Software Engineering teams to build quantum computers as well as quantum systems for our existing and next-generation quantum computers.

Requirements:

  • Graduate degree in Physics, Engineering or related fields or equivalent level of industry experience; PhD preferred.
  • 3+ years prior hands-on experience in a lab environment required, such as working with free space optics, lasers, RF systems, holography, UHV systems.
  • Proficient in coding (Python, Linux)
  • Experience working with data acquisition systems and data analysis techniques.
  • Experienced with CAD software (Autodesk Inventor preferred)
  • Quantum Physics, Quantum Computing background preferred
  • Ability to work independently and effectively with cross-functional teams
  • Thrives in a fast-paced start-up environment and can pivot as needed

#LI-DA1

The approximate base salary range for this position is $135,000-$185,000. This role is on-site 5 days a week

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.

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.

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