... quantum machine learning). • Develops and publishes research findings in the form of presentations and conference papers. • Conducts research on machine learning and develops innovative or ...
... quantum machine learning). • Develops and publishes research findings in the form of presentations and conference papers. • Conducts research on machine learning and develops innovative or ...
Summary QuEra Computing, Inc. is seeking a talented and driven Postdoctoral Fellow with a background in quantum physics, quantum error correction or quantum machine learning to contribute to our ...
Summary QuEra Computing, Inc. is seeking a talented and driven Postdoctoral Fellow with a background in quantum physics, quantum error correction or quantum machine learning to contribute to our ...
We are looking for a Research Scientist who can help define Quantum AI: not just quantum machine learning, but the broader study of how fault-tolerant quantum computation can transform the primitives ...
We are looking for a Research Scientist who can help define Quantum AI: not just quantum machine learning, but the broader study of how fault-tolerant quantum computation can transform the primitives ...
The role involves developing and implementing quantum error correction protocols and decoding algorithms, utilizing machine learning methods to enhance these processes. Responsibilities : • develop ...
The role involves developing and implementing quantum error correction protocols and decoding algorithms, utilizing machine learning methods to enhance these processes. Responsibilities : • develop ...
Quantum Calibrations Intern, Quantum Computing Services
$16.25 - $21.75/hr
QuEra is seeking motivated interns to join our growing team focused on developing the calibration ... Experience applying machine learning (Gaussian processes, time-series models, or neural networks ...
Quantum Calibrations Intern, Quantum Computing Services
$16.25 - $21.75/hr
QuEra is seeking motivated interns to join our growing team focused on developing the calibration ... Experience applying machine learning (Gaussian processes, time-series models, or neural networks ...
Quantum Calibrations Intern, Quantum Computing Services
$16.25 - $21.75/hr
QuEra is seeking motivated interns to join our growing team focused on developing the calibration ... Experience applying machine learning (Gaussian processes, time-series models, or neural networks ...
Quantum Calibrations Intern, Quantum Computing Services
$16.25 - $21.75/hr
QuEra is seeking motivated interns to join our growing team focused on developing the calibration ... Experience applying machine learning (Gaussian processes, time-series models, or neural networks ...
You will combine machine learning methods and quantum chemistry to build fast, accurate models that power small-molecule drug discovery. You will work with world-class computational and experimental ...
You will combine machine learning methods and quantum chemistry to build fast, accurate models that power small-molecule drug discovery. You will work with world-class computational and experimental ...
Conduct cutting-edge research in areas such as quantum optimization and quantum machine learning ... and interns, partnering with academia, attending conferences, representing Capital One at such ...
Conduct cutting-edge research in areas such as quantum optimization and quantum machine learning ... and interns, partnering with academia, attending conferences, representing Capital One at such ...
Conduct cutting-edge research in areas such as quantum optimization and quantum machine learning ... and interns, partnering with academia, attending conferences, representing Capital One at such ...
Conduct cutting-edge research in areas such as quantum optimization and quantum machine learning ... and interns, partnering with academia, attending conferences, representing Capital One at such ...
... quantum machine learning). • Develops and publishes research findings in the form of presentations and conference papers. • Conducts research on machine learning and develops innovative or ...
... quantum machine learning). • Develops and publishes research findings in the form of presentations and conference papers. • Conducts research on machine learning and develops innovative or ...
Experience in machine learning for scientific problems * Experience in quantum computing and quantum error correction * An exceptional publication record in relevant fields * Strong written and ...
Experience in machine learning for scientific problems * Experience in quantum computing and quantum error correction * An exceptional publication record in relevant fields * Strong written and ...
Experience in machine learning for scientific problems * Experience in quantum computing and quantum error correction * An exceptional publication record in relevant fields * Strong written and ...
Experience in machine learning for scientific problems * Experience in quantum computing and quantum error correction * An exceptional publication record in relevant fields * Strong written and ...
Facilitate internships or research placements at tech companies, AI startups, quantum computing ... Significant experience with machine learning/AI development, quantum computing research, or both
Facilitate internships or research placements at tech companies, AI startups, quantum computing ... Significant experience with machine learning/AI development, quantum computing research, or both
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 ...
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 ...
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 ...
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 ...
Quantum Machine Learning * Quantum Sensing * Quantum Applications * Quantum-safe or Quantum-resistant Cryptography We invite prominent leaders in Quantum Computing . Areas include quantum computing ...
Quantum Machine Learning * Quantum Sensing * Quantum Applications * Quantum-safe or Quantum-resistant Cryptography We invite prominent leaders in Quantum Computing . Areas include quantum computing ...
Postdoctoral Fellow - Applied Machine Learning in Quantum Systems
Boston, MA · On-site
$53K - $72K/yr
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 ...
Postdoctoral Fellow - Applied Machine Learning in Quantum Systems
Boston, MA · On-site
$53K - $72K/yr
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 ...
Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines. * Build software layers ...
Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines. * Build software layers ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
(Senior) Scientist, Machine Learning
$100K - $136K/yr
Experience with quantum chemistry, DFT, electronic structure methods, or post-DFT descriptors ... machine learning applications and an ability to curate, clean, integrate, and analyze complex ...
(Senior) Scientist, Machine Learning
$100K - $136K/yr
Experience with quantum chemistry, DFT, electronic structure methods, or post-DFT descriptors ... machine learning applications and an ability to curate, clean, integrate, and analyze complex ...
Internship Ibm Quantum Machine Learning information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do internship ibm quantum machine learning jobs pay per year?
As of Jun 23, 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 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?
| Aspect | Internship Ibm Quantum Machine Learning | Data Science Intern |
|---|---|---|
| Required Credentials | Basic knowledge of quantum computing, programming, and machine learning | Background in statistics, programming, and data analysis |
| Work Environment | Research-focused, technology-driven, often in labs or R&D teams | Business or research settings, analyzing large datasets |
| Industry Usage | Emerging field within tech and research sectors | Widely used across industries like finance, healthcare, and tech |
| Search & Comparison Intent | Understanding quantum ML internship opportunities | Exploring 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.
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 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.
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Qualcomm rating
9.6
Based on 5 frontline employees who took The Breakroom Quiz
5th of 191 rated software companies
Job description
Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Senior Machine Learning Researcher, you will conduct fundamental research to develop innovative machine learning methodologies and collaborate with cross-functional teams to enhance various products through machine learning research.
Responsibilities:
• Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
• Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto-ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
• Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning).
• Develops and publishes research findings in the form of presentations and conference papers.
• Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
• Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.
Qualifications:
Required:
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Preferred:
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ publications at a machine learning conference.
• 2+ years of experience working in a large matrixed organization.
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
• 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Senior Machine Learning Researcher, you will conduct fundamental research to develop innovative machine learning methodologies and collaborate with cross-functional teams to enhance various products through machine learning research.
Responsibilities:
• Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
• Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto-ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
• Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning).
• Develops and publishes research findings in the form of presentations and conference papers.
• Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
• Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.
Qualifications:
Required:
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Preferred:
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ publications at a machine learning conference.
• 2+ years of experience working in a large matrixed organization.
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
• 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Qualcomm
Sourced by ZipRecruiter
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Diego, CA, US
Year founded
1985