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Machine Learning Software Engineer Intern Jobs in Connecticut

As a software developer, you will utilize modern methodologies and technologies to innovate and ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

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Machine Learning Software Engineer Intern information

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.

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 most commonly searched types of Machine Learning Software Engineer jobs in Connecticut? The most popular types of Machine Learning Software Engineer jobs in Connecticut are:
IT Intern - Software Engineering

IT Intern - Software Engineering

Webster Bank

Stamford, CT

$23/hr

Full-time

Posted 2 days ago


Webster Bank rating

7.0

Company rating: 7.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

102nd of 141 rated banks


Job description

If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.

Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!

If you're looking for an exciting opportunity to gain real-world work experience, Webster Bank's internship program delivers! High performing students entering their junior or senior year of undergraduate studies will have the opportunity to work side-by-side with Webster/HSA colleagues to gain valuable experience, knowledge, and skills. This internship program is designed to create a pipeline of candidates who may become Webster's next generation of leaders.

As an intern at Webster Bank/HSA Bank, you will experience an unforgettable summer of learning, networking, and fun, while gaining valuable experience that directly complements classroom studies. Every internship opportunity is structured to provide you with a meaningful experience, broad exposure to our corporate functions, and opportunities for mentorship and networking. Webster's internship will be demanding & rewarding, and prepare you for your career ahead.

Summer Intern Program duration: June 1 - August 7, 2026.

Position: Summer Internship - Software Engineering Intern

We are seeking a motivated Software Engineering Intern to join our team and contribute to innovative AI-driven solutions in the banking domain. This role involves researching and evaluating emerging AI/Generative AI tools, identifying and recommending AI-based use cases for banking operations, and assisting in the development and enhancement of AI-enabled applications. The intern will collaborate closely with the engineering team and participate in all phases of the software development life cycle.

Key Responsibilities:

  • Research and assess new AI/GenAI technologies, frameworks, and tools for potential adoption.
  • Identify and recommend AI-driven use cases to improve banking operations and customer experiences.
  • Collaborate with the team to design, develop, and maintain AI-enabled applications.
  • Assist in building prototypes and proof-of-concept solutions for AI-based features.
  • Participate in all phases of the software development life cycle, including requirements gathering, design, coding, testing, and deployment.
  • Document findings, recommendations, and technical designs for internal knowledge sharing.
  • Support continuous improvement initiatives for existing AI-enabled applications.

Location: Southington, CT (3 days a week in person)

Participation Benefits Include:

  • Networking and social events with other interns
  • Opportunities to meet with business professionals, leaders and early career professionals
  • Mentor assigned to help guide your experience at Webster Bank/HSA Bank
  • Future opportunities to interview for full-time positions post-graduation
  • Education, Skills, and Experience Requirements for Interns:

Required Skills

  • Current undergraduate rising Junior or Senior enrolled in an accredited college or university who is pursuing a degree in related field and has an interest in the banking/financial services industry
  • Familiarity with AI/ML concepts and frameworks
  • Understanding of software development principles and version control systems (e.g., Git).
  • Ability to analyze problems, research solutions, and communicate findings effectively.
  • Strong inclination to researching and evaluating emerging AI/Generative AI tools
  • Strong collaboration and teamwork skills.
  • Resourceful, enthusiastic, and proactive
  • Demonstrated strong attention to detail
  • Self-motivated with a strong work ethic
  • Legally eligible to work in the U.S.

Preferred Qualifications

  • Exposure to Generative AI tools and APIs (e.g., OpenAI, Microsoft AI Stack, or similar).
  • Knowledge of cloud platforms (Azure, AWS, or GCP) and their AI services.
  • Coursework or projects related to AI/ML, data science, or software engineering.

The estimated hourly range for this position is $21.00/hour USD to $23.00/hour USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location.

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#LI-Hybrid

Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.


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