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Internship Ibm Quantum Machine Learning Jobs (NOW HIRING)

Nvidia

OR

$15 - $20/hr

Integrating various classical machine learning methods for identifying high-performance code ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...

Xometry

Machine Learning Intern

Waltham, MA · Hybrid

$27/hr

Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry. As a Machine Learning Intern at Xometry, you'll ...

Xometry

Machine Learning Intern

North Bethesda, MD · Hybrid

$27/hr

Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry. As a Machine Learning Intern at Xometry, you'll ...

IBM

AI Foundations - Research Engineer

Cambridge, MA · On-site

$225.80K/yr

IBM Research is the innovation engine of IBM, focusing on advancing AI and hybrid cloud ... Develop and implement Artificial Intelligence solutions, focusing on areas such as machine learning ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Amazon

Machine Learning Compiler Engineer

Cupertino, CA · On-site

... a quantum leap in performance. You: Machine Learning Compiler Engineer on the Amazon Neuron team ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Coupang

Machine Learning Intern

Mountain View, CA · On-site

$40 - $45/hr

What you will do In this internship, you will gain hands-on experience building large-scale machine learning models for Ads retrieval and ranking. Additionally, you will have the opportunity to ...

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How much do internship ibm quantum machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for internship ibm quantum machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an IBM Quantum Machine Learning Intern, and why are they important?

To excel as an IBM Quantum Machine Learning Intern, you typically need a background in computer science, physics, or a related field, with strong programming skills (Python) and foundational knowledge in quantum computing and machine learning. Familiarity with quantum programming frameworks such as Qiskit, as well as experience with machine learning libraries like TensorFlow or PyTorch, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top candidates in this role. These competencies enable interns to contribute meaningfully to research projects, collaborate with interdisciplinary teams, and adapt to rapidly evolving technologies in quantum computing.

What kinds of projects or tasks can interns expect to work on during an IBM Quantum Machine Learning internship?

During an IBM Quantum Machine Learning internship, interns often collaborate with research scientists and engineers on projects that explore the intersection of quantum computing and machine learning. Typical responsibilities include implementing quantum algorithms, analyzing experimental data, developing proof-of-concept applications, and contributing to open-source software or research publications. Interns may also participate in team meetings, technical discussions, and code reviews, gaining exposure to cutting-edge quantum technologies and professional research environments. This hands-on experience provides valuable insight into both academic and industry applications of quantum machine learning.

What is an IBM Quantum Machine Learning Internship?

An IBM Quantum Machine Learning Internship is a temporary position for students or recent graduates to work alongside IBM researchers and engineers on projects at the intersection of quantum computing and machine learning. Interns typically contribute to developing algorithms, running experiments on real quantum hardware, and advancing the understanding of how quantum computers can enhance machine learning tasks. The internship provides hands-on experience with IBM's quantum technologies, including Qiskit, and offers opportunities to collaborate with leading experts in the field. Applicants generally need a background in computer science, physics, mathematics, or related fields, and some familiarity with quantum computing concepts.

What is the difference between Internship Ibm Quantum Machine Learning vs Data Science Intern?

AspectInternship Ibm Quantum Machine LearningData Science Intern
Required CredentialsBasic knowledge of quantum computing, programming, and machine learningBackground in statistics, programming, and data analysis
Work EnvironmentResearch-focused, technology-driven, often in labs or R&D teamsBusiness or research settings, analyzing large datasets
Industry UsageEmerging field within tech and research sectorsWidely used across industries like finance, healthcare, and tech
Search & Comparison IntentUnderstanding quantum ML internship opportunitiesExploring data science internship roles

Internship Ibm Quantum Machine Learning focuses on applying quantum computing techniques to machine learning problems, often requiring knowledge of quantum algorithms and programming. In contrast, Data Science Internships involve analyzing data, building models, and deriving insights using traditional data analysis tools. Both roles are research-oriented but differ in technical focus and industry application.

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Internship Ibm Quantum Machine Learning jobs near you
Postdoctoral Fellow - Applied Machine Learning in Quantum Systems

Postdoctoral Fellow - Applied Machine Learning in Quantum Systems

QuEra Computing, Inc.

Boston, MA

$110K - $120K/yr

Other

Posted 16 hours 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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