ZipRecruiter

Log In

1

Quantum Machine Learning Engineer Jobs in Sicklerville, NJ

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python ...

asrcfh

Senior Machine Learning Engineer

Moorestown, NJ

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: * Develops, researches, and applies machine learning, deep learning, visual ...

asrcfh

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: * Develops, researches, and applies machine learning, deep learning, visual ...

Bespoke Labs

Machine Learning Engineer

Philadelphia, PA · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

next page

Showing results 1-20

All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Sicklerville, NJ

Quantum Machine Learning Engineer information

See Sicklerville, NJ salary details

$30.8K

$125.9K

$189.2K

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

As of Sep 7, 2026, the average yearly pay for quantum machine learning engineer in Sicklerville, NJ is $125,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $151,600.00 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 cities near Sicklerville, NJ are hiring for Quantum Machine Learning Engineer jobs?

Cities near Sicklerville, NJ with the most Quantum Machine Learning Engineer job openings:

Quantum Machine Learning Engineer jobs near you

Machine Learning Engineer

Compunnel

Philadelphia, PA • On-site

Contractor

Re-posted 6 days ago

Job description

Job Summary:
The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python programming, recent and relevant PySpark experience, strong AWS skills, and experience setting up local Large Language Models (LLMs). The ideal candidate will have a proven track record of delivering machine learning models into production and will be expected to demonstrate hands-on technical capabilities through a coding exercise and screen-sharing session.
Key Responsibilities:
• Design, develop, and implement machine learning models and solutions.
• Write production-quality code using Python and PySpark.
• Develop and optimize data processing workflows using PySpark.
• Deploy machine learning models into production and support their ongoing operation.
• Work with AWS services to develop and deploy machine learning solutions.
• Set up and work with local Large Language Models (LLMs).
• Troubleshoot, optimize, and maintain machine learning solutions and production models.
• Collaborate with technical teams to deliver scalable and reliable ML solutions.
• Participate in a hands-on coding exercise and screen-sharing technical evaluation.
Required Qualifications:
• 5+ years of experience as a Machine Learning Engineer.
• Extensive hands-on Python programming experience.
• Recent and relevant hands-on experience with PySpark.
• Strong experience with AWS.
• Proven experience delivering machine learning models into production.
• Experience setting up and working with local LLMs.
• Strong hands-on coding and problem-solving skills.
• Ability and willingness to complete a coding exercise through screen sharing.
• Strong focus on hands-on engineering rather than ML management.
Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media

FacebookTwitter

View All Compunnel Jobs

Apply