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Quantum Machine Learning Engineer Jobs in Hackensack, NJ

Virtu Financial

Machine Learning Engineer

New York, NY

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/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

Sr. Lead Machine Learning Engineer

New York, NY · 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.

Capital One

Lead Machine Learning Engineer

New York, NY · 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

New York, NY · On-site

$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 ...

RunSybil

Machine Learning Engineer

New York, NY · On-site

About this Role We are seeking talented engineers intent on changing the security industry. If you ... Understanding of both modern and classic machine learning techniques * Equally comfortable with ...

Namely

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity ...

Teleskope

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity ...

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

Quantum Machine Learning Engineer information

See Hackensack, NJ salary details

$34.4K

$140.4K

$211K

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

As of Aug 18, 2026, the average yearly pay for quantum machine learning engineer in Hackensack, NJ is $140,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $169,000.00 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 job categories do people searching Quantum Machine Learning Engineer jobs in Hackensack, NJ look for?

The top searched job categories for Quantum Machine Learning Engineer jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Quantum Machine Learning Engineer jobs?

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

Quantum Machine Learning Engineer jobs near you

Machine Learning Engineer

NYU Langone Hospitals

Manhattan, NY • On-site

$84.58 - $126/hr

Other

This job post has expired today. Applications are no longer accepted.

NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

14th of 888 rated healthcare providers

Job description

Position Summary

We have an exciting opportunity to join our team as an Engineer II – Applied AI. As an ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will drive specific projects forward in collaboration with data scientists, business units, and IT partners across various verticals including corporate services, the office of science and research, clinical, and pathology.

Job Responsibilities
  • Design and implement AI/ML applications using our technology stack and best practices in software development.
  • Collaborate with data scientists to build and fine‑tune high‑performing AI models and implement modern techniques from relevant published papers.
  • Develop scalable and robust pipelines to support large data‑processing tasks.
  • Implement internal security and data protection standards in AI applications; maintain AI system risk and security practices.
  • Support the team in preparing for technical reviews and internal documentation (architecture, IT security, AI).
  • Collaborate with stakeholders to meet team objectives; gather feature requirements, identify AI opportunities, create tickets, participate in backlog refinement, execute tickets, and conduct code review.
  • Stay updated with the latest industry trends and advancements in AI and cloud technologies; share and demonstrate learnings with the team.
  • Provide technical guidance and coaching to less experienced team members.
  • Participate in all phases of AI software development life cycle, including analysis, prototyping, development, evaluation, testing, deployment, refactoring, and technical support.
Minimum Qualifications
  • Bachelor's degree in computer science, software engineering, or a related field.
  • 1–3 years of hands‑on experience in AI solution development.
  • Strong programming skills in Python or other languages commonly used in AI development.
  • Substantial knowledge of AI, machine learning, and deep learning.
  • Experience with AI platforms such as PyTorch or TensorFlow.
  • Experience building large‑scale and/or compute‑intensive applications on clusters (HPC, Spark, Kubernetes).
  • Understanding of software development principles and methodologies, including data structures, data modeling, and software architecture.
  • Excellent problem‑solving skills and the ability to work in a team environment.
  • Excellent verbal and written communication skills.
Preferred Qualifications
  • Master's degree in computer science, data science, software engineering, or a related quantitative discipline.
  • 3–5 years of hands‑on experience in AI solution development.
  • Basic understanding of at least one cloud platform (Azure, AWS, GCP) and cloud‑native development tools, and experience using their AI/ML toolchain.

Qualified candidates must be able to effectively communicate with all levels of the organization.

Benefits: NYU Grossman School of Medicine offers a comprehensive benefits and wellness package including financial security benefits, a generous time‑off program, employee resource groups, and a holistic wellness program focused on physical, mental, nutritional, sleep, social, financial, and preventive care. These programs are designed to support employees at all stages of life.

NYU Grossman School of Medicine is an equal‑opportunity employer and is committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.

Salary Range: $84,577.92 – $126,000.00 annually. Actual salaries depend on experience, specialty, education, and hospital need. The range does not include bonuses, differential pay, or other compensation.

To view the Pay Transparency Notice, please click here.

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