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Internship Machine Learning Engineer Jobs in Centereach, NY

Senior AI Engineer - SFL Scientific

Stamford, CT · On-site

$111K - $153K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

AI Solutions Engineering Delivery Lead

Melville, NY · On-site

$104K - $138K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

AI Solutions Engineering Delivery Lead

Stamford, CT · On-site

$109K - $143K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior Data Scientist

Holtsville, NY · On-site

$145 - $150/hr

Build scalable machine learning pipelines using Python, PySpark, and cloud-based technologies. * Perform feature engineering, model evaluation, and optimization using structured and unstructured data.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

CTIO AI Engineering Manager

Stamford, CT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior Forward Deployed Engineer- AWS

Stamford, CT · On-site

$111K - $153K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Lead Forward Deployed Engineer - AWS

Stamford, CT · On-site

$109K - $143K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 21-40

Internship Machine Learning Engineer information

See Centereach, NY salary details

$26.7K

$44.6K

$92.1K

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

As of Aug 10, 2026, the average yearly pay for internship machine learning engineer in Centereach, NY is $44,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,100.00 per year, depending on experience, location, and employer.

What does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What is the difference between Internship Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.
What cities near Centereach, NY are hiring for Internship Machine Learning Engineer jobs? Cities near Centereach, NY with the most Internship Machine Learning Engineer job openings:

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Brookhaven National Laboratory is a multidisciplinary laboratory that delivers discovery science and transformative technology. They are inviting exceptional candidates to apply for a post-doctoral research associate position in machine learning and artificial intelligence, focusing on conducting research in brain-inspired neuromorphic computing and collaborating on scientific and security problems of interest to the Department of Energy.
Responsibilities:
• Conduct research in brain-inspired neuromorphic computing for various problems relating to microelectronics and scientific discovery.
• Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation.
• Formulate high-quality research ideas and directions in collaboration with mentors in the department.
• Communicate research progress, challenges, and achievements, and engage within and beyond the department on new potential collaborations.
Qualifications:
Required:
• Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics, etc.) awarded within the past 5 years.
• Strong theoretical understanding and practical experience in neuromorphic computing and/or AI/ML.
• Strong publication record.
• Excellent programming and computer science or electrical engineering skills.
Preferred:
• Experience with neuromorphic computing.
• Experience with hardware design using emerging devices (FeFET, ReRAM, SPD, etc.)
• Experience working in multidisciplinary collaborations.
Company:
Brookhaven National Laboratory is a multi-purpose research institution focused on questions in basic and applied science. Founded in 1947, the company is headquartered in Upton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.