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Internship Ibm Quantum Machine Learning Jobs in Massachusetts

IBM

Quantum algorithm theorist

Cambridge, MA · On-site

Introduction At IBM Research, we are the innovation engine of IBM. Exploring what's next in ... Our IBMers are growth minded, always staying curious, open to feedback and learning new information ...

IBM

Staff Quantum Algorithm Theorist

Cambridge, MA · On-site

Introduction At IBM Research, we are the innovation engine of IBM. Exploring what's next in ... Our IBMers are growth minded, always staying curious, open to feedback and learning new information ...

IBM

Quantum algorithm developer

Cambridge, MA · On-site

Introduction At IBM Research, we are the innovation engine of IBM. Exploring what's next in ... Our IBMers are growth minded, always staying curious, open to feedback and learning new information ...

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Internship Ibm Quantum Machine Learning information

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 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?

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 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.

What are popular job titles related to Internship Ibm Quantum Machine Learning jobs in Massachusetts?

For Internship Ibm Quantum Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Internship Ibm Quantum Machine Learning jobs in Massachusetts look for?

The top searched job categories for Internship Ibm Quantum Machine Learning jobs in Massachusetts are:

Internship Ibm Quantum Machine Learning jobs near you
Infographic showing various Internship Ibm Quantum Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Quantum Scientist - Quantum + AI

QuEra Computing, Inc.

Boston, MA • On-site

$145K - $227K/yr

Full-time

Re-posted 8 days ago

Job description

Summary

QuEra is seeking a talented AI scientist to explore the intersection of quantum computing and AI. This includes topics in "quantum for AI", such as development of quantum machine learning algorithms for generative tasks, integration of quantum computers into AI workflows, and augmentation of classical training with quantum methods. This may also include topics in "AI for quantum", such as AI compilation techniques for hardware execution, machine characterization and inference, decoding, and related topics. A strong candidate is expected to have deep hands-on experience with contemporary classical AI workflows, such as the large language models (LLMs), a strong understanding of the underlying theory of modern AI, and an understanding of quantum computing and quantum information theory.

As part of your role, you will spearhead efforts at QuEra to develop the next generation of quantum and AI algorithms guided by your experience with classical AI approaches. The role will include both cutting-edge research, as well as development and deployment of algorithms on the next generation of neutral-atom hardware. QuEra Computing is the leader in neutral-atom quantum computing, and is a front runner in the race towards utility-scale quantum computing. In this role, you will be at the forefront of integrating quantum algorithms with practical AI-driven toolchains, driving innovation across simulation, optimization, and quantum machine learning domains.

Qualifications

  • PhD in math, computer science, quantum physics, or equivalent professional experience
  • Strong hands-on expertise with modern AI/ML methods, such as deep learning and reinforcement learning, including practical usage of AI models such as LLMs in production or research environments.
  • Understanding of quantum information theory and quantum computing fundamentals
  • Experience deploying AI training and inference on HPC environments
  • An excellent track record of publications in AI and/or quantum computing

Preferred Qualifications

  • Strong experience in state-of-the-art quantum machine learning methods, such as quantum generative models and quantum reinforcement learning
  • Experience in scientific software development, including prior open-source contributions

The approximate base salary range for this position is $145,600 - $227,500.

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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