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Quantum Machine Learning Engineer Jobs (NOW HIRING)

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Rapid Eagle Inc

Machine Learning Engineer

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Paylocity

Machine Learning Engineer

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Purple Drive

Machine Learning Engineer

Newark, NJ

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in designing, developing, and deploying advanced machine learning solutions that drive innovation and create ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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All JobsQuantum Machine Learning Engineer Jobs

Quantum Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Jun 13, 2026, the average yearly pay for quantum machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the salary of quantum machine learning engineer?

The salary of a quantum machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum algorithms and programming languages like Python or Qiskit may offer higher compensation. Entry-level positions generally start around $80,000 to $100,000.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. These roles often require advanced degrees, certifications, and leadership responsibilities.

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 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.

Which 3 jobs will survive AI?

Quantum Machine Learning Engineers are likely to have resilient careers as their role combines advanced quantum computing and machine learning skills, which are less susceptible to automation. Jobs requiring complex problem-solving, creativity, and specialized expertise—such as data scientists, AI researchers, and cybersecurity analysts—are also expected to persist. These roles often involve tasks that are difficult for AI to fully automate and require ongoing human oversight and innovation.

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.

What are the key skills and qualifications needed to thrive as a Quantum Machine Learning Engineer, and why are they important?

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.
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Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

HeyMilo AI

Manhattan, NY

Other

Posted 19 days ago

Job description

About the job Machine Learning Engineer
Job Title: Machine Learning Engineer
Company: HeyMilo AI
Location: New York, NY, USA
Contract Details: Full-time
HeyMilo AI is a fast-growing startup based in New York City that specializes in developing cutting-edge artificial intelligence solutions for various industries. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team.
As a Machine Learning Engineer at HeyMilo AI, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will work closely with our data scientists, software engineers, and product managers to understand business requirements and develop solutions that meet our clients' needs.
Key Responsibilities:
- Design and implement machine learning models and algorithms to solve business problems
- Collaborate with data scientists to gather and preprocess data for model training and evaluation
- Develop and maintain data pipelines and infrastructure for efficient data processing and model deployment
- Conduct experiments and perform data analysis to evaluate model performance and identify areas for improvement
- Keep up-to-date with the latest advancements in machine learning and apply them to improve our products and services
- Work closely with cross-functional teams to integrate machine learning solutions into our products and services
- Communicate complex technical concepts to non-technical stakeholders and provide support and guidance to other team members
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
- Minimum of 3 years of experience in developing machine learning models and algorithms
- Strong programming skills in Python, and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience with software engineering best practices, including version control, testing, and code review
- Solid understanding of machine learning concepts and techniques, such as supervised and unsupervised learning, deep learning, and reinforcement learning
- Experience with data preprocessing and feature engineering techniques
- Strong problem-solving skills and ability to think creatively to come up with innovative solutions
- Excellent communication and teamwork skills
- Experience with cloud computing platforms, such as AWS or Google Cloud, is a plus
- Experience with natural language processing (NLP) and computer vision is a plus
At HeyMilo AI, we value diversity and inclusivity and are committed to creating a positive and collaborative work environment. We offer competitive salaries, comprehensive benefits, and opportunities for growth and development.
If you are passionate about using machine learning to solve real-world problems and want to be a part of a dynamic and innovative team, we want to hear from you! Apply now to join our team as a Machine Learning Engineer and help us shape the future of AI.

Apply