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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 ...

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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 Sep 11, 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 is a machine learning engineer intern?

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 do machine learning engineer interns do?

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 skills and qualifications are needed to thrive as a machine learning engineer intern?

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 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 September 2026, with employment types broken down into 3% Internship, 1% As Needed, 61% Full Time, 33% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $42,344 per year, or $20.4 per hour.

AI Software Engineer

Groton, CT • On-site

Thermo Fisher Scientific
Biotechnology Research and Development • 10K+ employees
Learn more about Thermo Fisher Scientificexternal

Full-time

Posted 3 days ago

New

Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 430 frontline employees who took The Breakroom Quiz

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

AI Software Engineer 

Job Description 

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. 

As AI Software Engineer, you will develop AI-enabled scientific software that combines artificial intelligence, laboratory data, data engineering, and AI platform capabilities to accelerate laboratory automation and intelligent decision-making. You will also contribute to defining and evolving the organization’s AI architecture, AI operations framework, and technology standards, translating emerging AI technologies into practical and scalable engineering approaches. 

[Key Competencies] 

  • Solution-oriented with strong analytical and problem-solving skills. 

  • Excellent communication and collaboration across internal, global, and customer-facing cross-functional teams. 

  • Self-driven with the ability to rapidly evaluate new AI technologies and deliver production-ready software. 

[Key Responsibilities] 

  • Design, develop, test, and maintain AI-enabled scientific applications using modern AI and machine learning technologies. 

  • Develop AI agents and intelligent workflows that integrate third-party AI solutions with digital laboratory applications. 

  • Design and implement AI-driven analysis, reporting, and decision-support capabilities for laboratory workflows. 

  • Build reusable AI services and APIs that enable scalable scientific AI capabilities across internal platforms and customer solutions. 

  • Design and implement data pipelines and data integration services that enable AI-ready laboratory data. 

  • Integrate and standardize data from ELN, LIMS, and other scientific software platforms for AI applications. 

  • Support AI runtime environments, cloud-based AI services, and MLOps practices for reliable deployment of AI solutions. 

  • Translate scientific and business requirements into scalable AI architectures and software solutions for both internal platforms and customer applications. 

  • Collaborate with internal and global Product, AI, and Engineering teams to contribute to AI architecture, technology standards, integration patterns, and reusable capabilities across digital platforms. 

  • Support customer demonstrations, Proof-of-Concept (PoC) activities, deployment, and continuous improvement of reusable AI and data engineering capabilities. 

  • Develop and continuously improve AI operations practices, including model and prompt lifecycle management, observability, security, deployment, and operational monitoring. 

  • Evaluate emerging AI technologies, frameworks, and third-party solutions through technical assessment and rapid prototyping, and recommend practical adoption approaches for the organization. 

[Qualifications] 

Education 

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline. 

Experience 

  • 3+ years of software development experience. 

  • Recent Master's or Ph.D. graduates with strong software engineering and AI development foundations may also be considered.

  • Experience developing AI-enabled software applications, backend services, or AI platform components is plus.

[Knowledge, Skills, Abilities] 

  • Strong programming skills in Python and modern AI development frameworks. 

  • Understanding of AI/LLM architecture, cloud-based AI services, APIs, agentic AI frameworks, and modern AI development practices.

  • Knowledge of machine learning, LLMs, prompt engineering, and AI application development. 

  • Experience or understanding of data pipelines, data integration, and data preparation for AI applications.

  • Ability to evaluate AI technologies and contribute to the design of scalable AI solutions, integration patterns, and reusable technical components.

  • Strong analytical, problem-solving, debugging, and software development skills. 

  • Excellent communication and collaboration skills with customers and cross-functional teams. 

  • Business-level English and Korean communication skills. 

[Preferred Qualifications] 

  • Experience with biotechnology, life sciences, laboratory automation, research, or scientific software environments is highly desirable. 

  • Experience with Azure OpenAI, Semantic Kernel, LangGraph, or similar AI frameworks. 

  • Experience with ELN, LIMS, Momentum, or scientific laboratory software. 

  • Knowledge of laboratory automation workflows and scientific data management. 

  • Familiarity with MLOps/LLMOps, AI observability, deployment, and operational monitoring is a plus.

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