The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences. Responsibilities : • Collaborate ...
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 ...
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 ...
Machine Learning Engineer
New York, NY · On-site
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
New York, NY · On-site
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking a Machine Learning Engineer to shape how they build and scale machine learning systems, focusing on developing and optimizing ML inference systems that process large volumes of media ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking a Machine Learning Engineer to shape how they build and scale machine learning systems, focusing on developing and optimizing ML inference systems that process large volumes of media ...
We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...
We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...
Machine Learning Engineer
New York, NY · On-site
We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...
Machine Learning Engineer
New York, NY · On-site
We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...
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 ...
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 ...
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 ...
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 ...
Machine Learning Engineer
New York, NY · On-site
About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...
Machine Learning Engineer
New York, NY · On-site
About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the ...
Machine Learning Engineer
New York, NY · On-site +1
$223K - $260K/yr
Collaborate closely with multiple stakeholders across product, engineering, research and marketing. Train, evaluate, test, and deploy machine learning models. Part-time telecommuting is an option.
Machine Learning Engineer
New York, NY · On-site +1
$223K - $260K/yr
Collaborate closely with multiple stakeholders across product, engineering, research and marketing. Train, evaluate, test, and deploy machine learning models. Part-time telecommuting is an option.
Machine Learning Engineer
Minneapolis, MN · On-site
$85K - $125K/yr
... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...
Machine Learning Engineer
Minneapolis, MN · On-site
$85K - $125K/yr
... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...
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.
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.
Sr. Lead Machine Learning Engineer
Manhattan, NY · On-site +1
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.
Sr. Lead Machine Learning Engineer
Manhattan, NY · On-site +1
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.
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 ...
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 ...
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 ...
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 ...
Sr. Lead Machine Learning Engineer
New York, NY · On-site +1
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.
Sr. Lead Machine Learning Engineer
New York, NY · On-site +1
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.
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.
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.
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.
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.
Senior Machine Learning Engineer
$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 ...
Senior Machine Learning Engineer
$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 ...
Senior Machine Learning Engineer
$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 ...
Quick apply
Senior Machine Learning Engineer
$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 ...
Quantum Machine Learning Engineer information
See Hackensack, NJ salary details
$34.4K - $50.4K
1% of jobs
$50.4K - $66.5K
1% of jobs
$66.5K - $82.5K
5% of jobs
$82.5K - $98.6K
6% of jobs
$111.9K is the 25th percentile. Wages below this are outliers.
$98.6K - $114.7K
14% of jobs
$114.7K - $130.7K
14% of jobs
The median wage is $138.8K / yr.
$130.7K - $146.8K
18% of jobs
$146.8K - $162.9K
14% of jobs
$166.1K is the 75th percentile. Wages above this are outliers.
$162.9K - $178.9K
12% of jobs
$178.9K - $195K
11% of jobs
$195K - $211K
5% of jobs
$34.4K
$140.4K
$211K
How much do quantum machine learning engineer jobs pay per year?
As of Jul 5, 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 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. Many positions also include benefits such as research opportunities and access to advanced quantum computing tools.
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. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.
Is quantum machine learning a good career?
Quantum machine learning engineers work at the intersection of quantum computing and machine learning, developing algorithms that leverage quantum hardware. The field is emerging, with high demand for specialized skills in quantum algorithms, programming languages like Qiskit, and understanding of both quantum physics and data science. Careers in this area can be rewarding but often require advanced education and continuous learning due to rapid technological advancements.
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.
Will MLE be replaced by AI?
Quantum Machine Learning Engineers work at the intersection of quantum computing and machine learning, developing algorithms that leverage quantum systems. While AI continues to advance, quantum computing is expected to complement classical machine learning rather than replace it entirely, and MLE roles will evolve to incorporate new quantum techniques and tools. Continuous learning in both quantum algorithms and machine learning is essential for professionals in this field.
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.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Hackensack, NJ? For Quantum Machine Learning Engineer jobs in Hackensack, NJ, the most frequently searched job titles 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:
Full-time
Posted 17 days ago
Job description
Job Summary:
Fireworks AI is building the future of generative AI infrastructure, delivering high-quality models with fast and scalable inference. The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences.
Responsibilities:
• Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
• Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute to the internal ML platform, including adding features and resolving issues.
• Integrate and enable new machine learning models into the existing platform or client environments.
• Improve system performance, efficiency, and scalability of deployed models and applications.
• Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
• Robust coding skills required, preferably with proficiency in Python.
• Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
• Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Preferred:
• Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience working in a startup or fast-paced environment.
• Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
• Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Company:
Fireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models Founded in 2022, the company is headquartered in Redwood City, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Fireworks AI is building the future of generative AI infrastructure, delivering high-quality models with fast and scalable inference. The Applied Machine Learning Engineer will develop, fine-tune, and operationalize machine learning models to drive business value and enhance user experiences.
Responsibilities:
• Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
• Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
• Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
• Contribute to the internal ML platform, including adding features and resolving issues.
• Integrate and enable new machine learning models into the existing platform or client environments.
• Improve system performance, efficiency, and scalability of deployed models and applications.
• Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.
• Robust coding skills required, preferably with proficiency in Python.
• Demonstrated ability to lead and execute complex technical projects with a focus on customer success.
• Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.
Preferred:
• Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience working in a startup or fast-paced environment.
• Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).
• Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.
Company:
Fireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models Founded in 2022, the company is headquartered in Redwood City, USA, with a team of 51-200 employees. The company is currently Growth Stage.