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Machine Learning Software Engineer Intern Jobs in Newtown, CT

Citadel

Software Engineer - Intern (US)

Greenwich, CT · On-site

$4.5K - $5.8K/wk

... machine learning and more. As an intern, you'll get to challenge the impossible in technology ... Exceptional programming and design skills * Strong analytical skills and familiarity with ...

Danaher

Software Engineer Internships

Danbury, CT · On-site

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Newtown, CT

Machine Learning Software Engineer Intern information

See Newtown, CT salary details

$13

$26

$39

How much do machine learning software engineer intern jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for machine learning software engineer intern in Newtown, CT is $26.18, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $29.71 per hour, depending on experience, location, and employer.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
Machine Learning Software Engineer Intern jobs near you
Software Engineer - Intern (US)

Software Engineer - Intern (US)

Citadel

Greenwich, CT • On-site

$4.5K - $5.8K/wk

Other

Posted 7 days ago

Job description

Job Description

At Citadel, our engineers work in small teams to turn the best ideas into high-performing and resilient technology. With short development cycles, work rapidly goes into production. As an engineer, you can create system architectures, develop platforms and build web frameworks. You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more.

As an intern, you'll get to challenge the impossible in technology through an 11-week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

Your Objectives:

  • Create technological tools that bring trading strategies to life
  • Develop high-performance, large data research platforms
  • Work in small teams to build the future of finance

Your Skills & Talents:

  • Bachelor's, master's or PhD in computer science, computer engineering or related fields
  • Exceptional programming and design skills
  • Strong analytical skills and familiarity with probability and statistics
  • Ability to communicate effectively in a collaborative, complex and highly technical team environment
  • Intellectual curiosity and passion for solving challenging problems using technology

Opportunities available in New York, Miami, Greenwich, and Houston.

In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing stipend or covered living accommodations, company-sponsored travel, and a variety of on-site benefits, including access to on-site fitness and wellness amenities, catered meals, and social and networking events.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

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