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Internship Mechanical Engineering Machine Learning Jobs in New Rochelle, NY

Jane Street

Machine Learning Engineer

New York, NY · On-site

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

Trading Interview

Machine Learning Engineer

Manhattan, NY · On-site

$55 - $83/hr

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

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All JobsMechanical Engineering Machine Learning JobsInternship Mechanical Engineering Machine Learning JobsInternship Mechanical Engineering Machine Learning Jobs in New Rochelle, NY

Internship Mechanical Engineering Machine Learning information

See New Rochelle, NY salary details

$14

$22

$31

How much do internship mechanical engineering machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for internship mechanical engineering machine learning in New Rochelle, NY is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $25.00 per hour, depending on experience, location, and employer.

What is the difference between Internship Mechanical Engineering Machine Learning vs Mechanical Engineer?

AspectInternship Mechanical Engineering Machine LearningMechanical Engineer
Required CredentialsTypically pursuing or recently completed a degree in Mechanical Engineering or related field; familiarity with machine learning toolsBachelor's degree in Mechanical Engineering; professional licensure often not required for entry-level roles
Work EnvironmentInternship setting, often in research labs or tech companies, focusing on project-based learningDesign, analysis, and manufacturing environments, including offices, factories, and labs
Employer & Industry UsageUsed by tech companies, research institutions, and engineering firms exploring AI applications in mechanical systemsWidely employed across manufacturing, automotive, aerospace, and energy sectors

In summary, an Internship Mechanical Engineering Machine Learning focuses on gaining experience at the intersection of mechanical engineering and machine learning, often in research or tech environments. A Mechanical Engineer typically works on designing and maintaining mechanical systems across various industries, with a broader scope and more established credentials.

What cities near New Rochelle, NY are hiring for Internship Mechanical Engineering Machine Learning jobs?

Cities near New Rochelle, NY with the most Internship Mechanical Engineering Machine Learning job openings:

Internship Mechanical Engineering Machine Learning jobs near you
Infographic showing various Internship Mechanical Engineering Machine Learning job openings in New Rochelle, NY as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,839 per year, or $22.5 per hour.

Machine Learning Developer

Elliot Partnership

New York, NY • On-site

Full-time

Re-posted 24 days ago

Job description

 OVERVIEW:
Machine learning developers work closely with researchers to creatively apply their knowledge of machine learning and software engineering to design, build, and maintain systems for high-performance, large-scale knowledge discovery in financial data. Machine learning developers have the opportunity to be part of an inclusive, collaborative, and engaging working environment.
WHAT YOU'LL DO DAY-TO-DAY:
Specific responsibilities include designing, implementing, testing, and documenting modules for all stages of the pipeline from data to predictions, assembling these modules into end-to-end systems, and interacting with researchers to achieve highly productive experimentation, model construction, and validation.
WHO WE'RE LOOKING FOR:
• Successful candidates will have a strong knowledge of software engineering, machine learning, and open-source machine learning ecosystems. A track record of building and applying high-performance machine learning systems is desired
• While an impressive record of academic achievement is a plus, we welcome outstanding candidates from diverse academic disciplines and backgrounds.

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