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Machine Learning Engineer Intern Jobs in Groton, CT

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

AI Developer Location : Greenwich, CT Hybrid (Need local candidate) Duration : 6+ Months Interview ... Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based ...

Whelen Engineering

Manufacturing Engineer I

Chester, CT · On-site

$73K - $95K/yr

Still learning the fundamentals of the Manufacturing Engineering Production Support role ... Basic machine shop experience and knowledge of measurement techniques Physical demands and ...

ResultStack

Sr. Data Scientist

Carolina, RI · On-site

You'll work across operations, engineering, and leadership to build predictive systems that ... They will be well versed in AI & Machine Learning. Having Hands-On experience with LLM's, NLP ...

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Showing results 1-20

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Groton, CT

Machine Learning Engineer Intern information

See Groton, CT salary details

$25.4K

$42.3K

$87.5K

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

As of Jul 31, 2026, the average yearly pay for machine learning engineer intern in Groton, CT is $42,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Groton, CT? For Machine Learning Engineer Intern jobs in Groton, CT, the most frequently searched job titles are:
What cities near Groton, CT are hiring for Machine Learning Engineer Intern jobs? Cities near Groton, CT with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Groton, CT as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $42,344 per year, or $20.4 per hour.

AI Engineer - Software

General Dynamics Electric Boat

Groton, CT

Full-time

Posted 7 days ago

General Dynamics Electric Boat rating

8.3

Company rating: 8.3 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

67th of 536 rated manufacturers

Job description

The IT Advanced Technology Group at Electric Boat is seeking a highly skilled and innovative AI Engineer to join our team and support the design, development, and deployment of advanced machine learning (ML) and artificial intelligence (AI) solutions. This role involves hands-on work with data wrangling, model development, automated agents, and exploratory research into emerging AI technologies and methodologies. The ideal candidate is both technically strong and forwardthinking, with a passion for applying AI to solve complex business problems.

Responsibilities Include:

Machine Learning & Model Development

  • Design, train, validate, and deploy machine learning models using modern frameworks and best practices.
  • Build endtoend ML pipelines that include data ingestion, preprocessing, feature engineering, training, evaluation, and monitoring.
  • Optimize models for performance, scalability, and efficiency.

Data Wrangling & Analysis

  • Collect, clean, transform, and structure complex datasets from diverse sources.
  • Perform exploratory data analysis to identify trends, anomalies, and opportunities.
  • Develop automation for data processing workflows and ensure high data quality.

AI Agents & Automation

  • Create intelligent agents capable of autonomous decisionmaking, workflow automation, and contextual reasoning.
  • Integrate agents with internal systems, APIs, and knowledge bases.
  • Evaluate agent performance and iterate based on measurable outcomes.

Research & Emerging Technology Exploration

  • Stay current with the rapidly evolving AI/ML landscape, including new algorithms, architectures, tools, and best practices.
  • Prototype innovative AI solutions using cuttingedge techniques such as LLMs, RAG pipelines, multi-agent systems, and generative models.
  • Develop technical briefs, proofs of concept, and recommendations for adopting new technologies.

Collaboration & Communication

  • Work closely with software engineers, data scientists, product teams, and stakeholders to translate business needs into AI solutions.
  • Document technical designs, research findings, and model performance.
  • Provide guidance and mentorship on AI/ML concepts and toolsets.

Required:

  • Bachelor's of Science degree or Master’s degree in Computer Science, Data Science, or AI Engineering
  • 5+ years of  post-graduate related experience in developing software applications

Preferred:

  • Strong proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, scikit-learn, or similar.
  • Strong proficiency with application APIs, web services, and data management approaches in applications
  • Experience with data wrangling tools and technologies (Pandas, SQL, ETL systems).
  • Solid understanding of machine learning algorithms, statistical modeling, and model evaluation.
  • Experience working with LLMs or generative AI models.
  • Knowledge of cloud platforms (Azure, AWS, GCP) and containerization technologies.
  • Experience building AI agents or autonomous systems.
  • Familiarity with vector databases, RAG architectures, or multimodal models.
  • Exposure to MLOps practices (CI/CD, model monitoring, feature stores).
  • Contributions to AI research, open-source tools, or AIrelated publications.
  • Knowledge of distributed computing or GPU optimization.

  • Excellent verbal and written communication skills
  • Strong organizational and interpersonal skills
  • Ability to multi-task in a fast-paced environment
  • Ability to work on a cross-functional team as well as independently
  • Curiosity, adaptability, and enthusiasm for continuous learning.

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