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Machine Learning Engineer Intern Jobs in Monroe, CT

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Machine Learning Engineer Intern information

See Monroe, CT salary details

$25.3K

$42.3K

$87.4K

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

As of Jul 11, 2026, the average yearly pay for machine learning engineer intern in Monroe, CT is $42,315.00, 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 the most commonly searched types of Machine Learning Engineer jobs in Monroe, CT? The most popular types of Machine Learning Engineer jobs in Monroe, CT are:
What cities near Monroe, CT are hiring for Machine Learning Engineer Intern jobs? Cities near Monroe, CT with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Monroe, CT as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $42,315 per year, or $20.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Graham Capital Management, L.P.

Norwalk, CT โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Graham Capital Management, L.P. is an alternative investment manager specializing in discretionary and quantitative macro strategies. They are seeking a Machine Learning Engineer to join their Data Science team, where the role involves developing innovative solutions using machine learning and advanced statistical methods to support quant strategies and enhance data insights for stakeholders.
Responsibilities:
โ€ข You will be part of a growing team within Data Science.
โ€ข You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the buy-side.
โ€ข You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions.
โ€ข Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund.
Qualifications:
Required:
โ€ข Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
โ€ข 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets
โ€ข Experience writing production code for multi-client systems serving model results is a great plus
โ€ข Ability to clearly communicate research findings to technical and nontechnical stakeholders
โ€ข Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments
โ€ข Experience with scientific computing, statistics, optimization, time series, panel data, etc.
โ€ข Comfortable handling multiple projects to solve varied problems working with multiple teams
โ€ข Detail-oriented mindset
โ€ข Sense of ownership of his/her work, working well both independently as well as collaboratively
Company:
Who We Are & What We Do: Graham Capital Management, L.P. Founded in 1994, the company is headquartered in Norwalk, USA, with a team of 201-500 employees. The company is currently Growth Stage.