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Applied Machine Learning Intern Jobs in Wellesley, MA

Chewy

Senior Machine Learning Engineer

Boston, MA · On-site +1

$149K - $245K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... Establish high bar on model performance, establish applied-science implementation best practices ...

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Showing results 21-40

All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Wellesley, MA

Applied Machine Learning Intern information

See Wellesley, MA salary details

$28K

$46.7K

$96.5K

How much do applied machine learning intern jobs pay per year?

As of Aug 6, 2026, the average yearly pay for applied machine learning intern in Wellesley, MA is $46,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,500.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What job categories do people searching Applied Machine Learning Intern jobs in Wellesley, MA look for? The top searched job categories for Applied Machine Learning Intern jobs in Wellesley, MA are:
What cities near Wellesley, MA are hiring for Applied Machine Learning Intern jobs? Cities near Wellesley, MA with the most Applied Machine Learning Intern job openings:
Applied Machine Learning Intern jobs near you
Infographic showing various Applied Machine Learning Intern job openings in Wellesley, MA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,710 per year, or $22.5 per hour.

Quantum Calibrations Intern, Quantum Computing Services

QuEra Computing, Inc.

Boston, MA • On-site

$16.25 - $21.75/hr

Full-time, Internship

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Intern, Quantum Calibrations, Quantum Computing Services
Job Type: Full-time, 3-6 months
Job Location: Boston, MA
Reports to: VP of Quantum Computing Services
Summary:
QuEra is seeking motivated interns to join our growing team focused on developing the calibration and performance characterization framework for QuEra's neutral-atom quantum computers. As an intern, you will collaborate with physicists, software engineers, and hardware specialists to design benchmarking protocols, build physics-informed models of device behavior, and develop predictive tools for real-time qubit state evolution.
This internship offers a unique opportunity to gain hands-on experience at the interface of quantum hardware and data science, contributing to the development of calibration and performance characterization frameworks for scalable, reliable neutral-atom quantum computers.
This role is part of QuEra's Quantum Computing Services team and is based at QuEra's Boston headquarters. The team's mission is to develop QuEra's neutral-atom technology into cutting-edge quantum computing products and services.
Core Responsibilities
  • Develop and test data analysis routines to fit, visualize, and interpret experimental data.
  • Design and execute device benchmarking and characterization experiments.
  • Build and apply Hamiltonian learning routines to infer effective system parameters from time-evolution data.
  • Develop predictive models for key performance metrics (gate fidelity, coherence, readout error) using time-series calibration history and machine learning methods.
  • Collaborate closely with physicists, engineers, and software developers to integrate your work into QuEra's operational stack.

Qualifications
Required
  • Foundational understanding of quantum mechanics and open quantum systems at the graduate level.
  • Experience designing and analyzing experiments involving quantum or physical systems
  • Strong programming skills in Python, including familiarity with libraries such as NumPy, SciPy, Pandas, and Matplotlib.
  • Enjoys hands-on experimentation, iteration, and uncovering structure in data.
  • Strong analytical, problem-solving, and communication skills.

Preferred
  • Familiarity with quantum gate characterization protocols (randomized benchmarking, process tomography, GST) and error budget decomposition.
  • Exposure to Hamiltonian learning, system identification, or quantum noise spectroscopy methods.
  • Experience applying machine learning (Gaussian processes, time-series models, or neural networks) to physical or experimental data.
  • Exposure to laboratory instrumentation, data acquisition, or experimental control systems.

Education & Experience
  • Currently pursuing or recently completed a Master's or PhD in Physics, Applied Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field.

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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