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Machine Learning Quantum Computing Jobs in Methuen, MA

Senior Quantum Engineer

Boston, MA · On-site

$113K - $155K/yr

You will join the Quantum Computing Services team early in this new machine's life, learn QuEra's technology platform and the specific system from the ground up, and take on increasing ownership of ...

Senior Quantum Engineer

Boston, MA · On-site

$113K - $155K/yr

You will join the Quantum Computing Services team early in this new machine's life, learn QuEra's technology platform and the specific system from the ground up, and take on increasing ownership of ...

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

... machine learning. * Prototype, document, and evaluate end-to-end workflows that demonstrate the ... Familiarity with quantum computing concepts and hardware architectures (neutral atom, trapped ion ...

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Machine Learning Quantum Computing information

See Methuen, MA salary details

$26.7K

$44.5K

$92K

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

As of Aug 22, 2026, the average yearly pay for machine learning quantum computing in Methuen, MA is $44,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,100.00 per year, depending on experience, location, and employer.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

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

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are popular job titles related to Machine Learning Quantum Computing jobs in Methuen, MA?

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

What cities near Methuen, MA are hiring for Machine Learning Quantum Computing jobs?

Cities near Methuen, MA with the most Machine Learning Quantum Computing job openings:

Postdoctoral Fellow - Applied Machine Learning in Quantum Systems

QuEra Computing, Inc.

Boston, MA • On-site

$110K - $120K/yr

Full-time

Re-posted 26 days ago


Job description

Summary

This role focuses on developing computational methods for in-the-loop stabilization of neutral atom Logical Quantum Processing Units (LQPUs). The position sits at the interface of quantum hardware and control systems, supporting both near-term experimental performance and the long-term development of control architectures for stable, fault-tolerant computing. 

The successful candidate will design and prototype state-of-the-art methods to enable reliable quantum operations and translate device measurements into actionable control feedback. Responsibilities include advancing capabilities such as measurement-informed feedback control and machine learning-driven inference.

Key Responsibilities

  • Develop and deploy machine learning models for high-fidelity quantum operation inference and control prediction.
  • Design and prototype in-the-loop control mechanisms that adapt sequences based on measurement outcomes and system state.
  • Collaborate with physics, quantum error-correction, hardware, and control teams to validate new stack components using experimental data and system-level performance
Required Qualifications
  • Ph.D. or equivalent experience in Physics, Computer Science, Electrical Engineering, or a related field, with a strong background in quantum computing or quantum physics. 
  • Experience working with quantum computing platforms (neutral atoms, trapped ions, superconducting qubits, or similar). 
  • Demonstrated experience working with Machine Learning for inference and hardware in loop. 
  • Strong programming skills in Python, C++, or similar languages. 
  • Strong analytical and problem-solving skills, with the ability to take technical ownership. 
  • Effective communication skills and the ability to collaborate across physics, engineering, and software teams. 
  • Proficiency with Git and modern collaborative development workflows. 
  • Track record of publications or significant technical contributions in relevant areas. 
Preferred Qualifications
  • Experience with quantum control stacks or real-time control systems. 
  • Familiarity with fault-tolerant protocols, logical qubit architectures, or quantum error correction frameworks. 
  • Experience with performance-sensitive, low-latency, or distributed systems. 
  • Aware of advances in fault-tolerant quantum computing, in-the-loop control, and ML-driven control strategies. 

The approximate base salary range for this position is $110,000-$120,000.

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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