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Machine Learning Engineer Intern Jobs in Old Saybrook, CT

Hyperfine

Senior AI Scientist

Guilford, CT

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

Varsity Tutors

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

U.S. Coast Guard

Research General Engineer

New London, CT · On-site +1

$120K - $156K/yr

Specific competencies include remote sensing, machine learning, computer vision, control systems ... Professional registration or licensure Current registration as an Engineer Intern (EI), Engineer in ...

Varsity Tutors

Python Tutor

New Haven, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Old Saybrook, CT

Machine Learning Engineer Intern information

See Old Saybrook, CT salary details

$25.9K

$43.2K

$89.2K

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

As of Aug 9, 2026, the average yearly pay for machine learning engineer intern in Old Saybrook, CT is $43,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,600.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Machine Learning Engineer jobs in Old Saybrook, CT? The most popular types of Machine Learning Engineer jobs in Old Saybrook, CT are:
What job categories do people searching Machine Learning Engineer Intern jobs in Old Saybrook, CT look for? The top searched job categories for Machine Learning Engineer Intern jobs in Old Saybrook, CT are:
What cities near Old Saybrook, CT are hiring for Machine Learning Engineer Intern jobs? Cities near Old Saybrook, 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 Old Saybrook, CT as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,181 per year, or $20.8 per hour.

Senior AI Scientist

Hyperfine

Guilford, CT

$160K - $185K/yr

Full-time

Re-posted 14 days ago

Job description

About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop system-the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More

About The Role

Job Title: Senior AI Scientist

Location: Guilford, Connecticut

The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.

Key Responsibilities

  • Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products. 
  • Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time. 
  • Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences. 
  • Maintain and continuously improve our existing DL models, with new training data and modeling techniques. 
  • Support software releases, and regulatory documentation. 

Knowledge, Skill & Abilities:

  • Ability to design new algorithms for practical problems on real-world datasets. 
  • Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion. 
  • Ability to work efficiently and clear roadblocks in timely manner. 
  • Adaptability to fast-changing work environment. 
  • Strong communication skills and proactiveness for working in a cross-functional collaborative environment. 

Required Education & Experience:

  • PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
  • Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
  • Experience working with Medical Images and Magnetic Resonance Images.
  • Software engineering experience in developing and maintaining systems using Python. 
  • Programming experience in PyTorch and/or TensorFlow.

Physical Demands:

  • This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT.
  • Available nights, weekends, and holidays as business needs require.

Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

Compensation: The annual base salary for this position is between $160,000 - $185,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.

Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.

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