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Python Developer Intern Jobs in Massachusetts (NOW HIRING)

Danaher

Software Engineer Internships

Lowell, MA

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

Danaher

Software Engineer Internships

Cambridge, MA

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

Danaher

Software Engineer Internships

Worcester, MA

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

Danaher

Software Engineer Internships

Brockton, MA

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

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How much do python developer intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for python developer intern in Massachusetts is $25.00, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $26.54 per hour, depending on experience, location, and employer.

What is a Python Developer Intern job?

A Python Developer Intern is an entry-level role where interns assist in developing, testing, and maintaining software applications using Python. They work under the guidance of senior developers to write clean and efficient code, debug issues, and collaborate with teams on various projects. Interns may also gain experience with frameworks like Django or Flask, databases, and APIs. This role helps build hands-on programming skills and provides valuable industry experience for future opportunities.

What are the key skills and qualifications needed to thrive in the Python Developer Intern position, and why are they important?

To thrive as a Python Developer Intern, you need a solid understanding of Python programming, problem-solving abilities, and foundational knowledge of computer science principles, often backed by coursework or personal projects. Familiarity with version control systems like Git, basic databases, and frameworks such as Flask or Django can be advantageous, though formal certifications are not always required. Effective collaboration, strong communication, and a willingness to learn help interns stand out in dynamic development teams. These skills are essential for quickly adapting to real-world projects, contributing meaningfully, and developing as a professional in a fast-paced tech environment.

What types of projects or tasks can I expect to work on as a Python Developer Intern?

As a Python Developer Intern, you may work on a variety of tasks ranging from writing and testing code to debugging existing applications and developing new features under the supervision of senior developers. You could be involved in supporting ongoing software development projects, automating routine processes, or contributing to data analysis efforts, depending on the team's focus. Interns often collaborate with mentors and other team members through code reviews, stand-up meetings, and paired programming sessions. This hands-on experience provides valuable exposure to industry best practices and helps build a strong foundation for future advancement within software development roles.
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FM Research 2026 Intern or Co-op V - AI/ML for Anomaly Detection and Decision Making

FM Research 2026 Intern or Co-op V - AI/ML for Anomaly Detection and Decision Making

FM

Norwood, MA • On-site

$39/hr

Full-time

Posted 27 days ago

Job description

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.
Job Summary:
FM Research is seeking a motivated and competent candidate as a summer intern or co-op student to leverage recent developments in Machine Learning (ML) and Artificial Intelligence (AI) to enable early anomaly detection and automated decision-making in the context of fire protection of large, high-value occupancies. We anticipate the successful candidate will be a graduate student in a technical field (e.g., computer science, data science, engineering, applied mathematics, etc.). The candidate need not be familiar with fire dynamics.
Responsibilities:
Identify and develop a sensor fusion approach applicable to highly heterogeneous, occupancy-specific industrial sensors under the supervision of senior scientists, and employ available public datasets, synthetic data and FM-internal datasets to train and evaluate the approach for proof of concept. Develop a reliable early anomaly detection approach applicable across different occupancies and initiating events using the fused sensor data and demonstrate robustness to practical issues such as noise and sensor dropout. Time permitting, develop an LLM-based agent to demonstrate explainable and situationally-aware decision-making based on the detected anomaly and occupancy specifics. Document the internship achievements and present the results for internal review. In collaboration with senior scientists, further refine and develop the scope of the project to achieve ongoing impact beyond the scope of the internship.
Qualifications
PhD students, with good academic standing for graduation
Proficiency in Python programming, manipulating data structures and API interactions.
Strong ML fundamentals (e.g., supervised/unsupervised learning, network architectures). Strong grasp of NLP fundamentals, LLM manipulation and the agentic loop.
Comfortable using agentic tools (e.g., Claude Code, Codex) in code development.
Comfortable finding, modifying and utilizing open-source datasets and repositories.
Proficiency in using Linux systems and working on the command line (e.g., git, bash, vim). Strong problem-solving and communication skills.
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About FM

Sourced by ZipRecruiter

Industry

Plastics product manufacturing

Company size

51 - 200 Employees

Headquarters location

Rogers, AR, US

Year founded

1980

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