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Internship Mechanical Engineering Machine Learning Jobs in New York

If you also have knowledge of data science and software engineering, we'd like to meet you. Your ... Design machine learning systems * Research and implement appropriate ML algorithms and tools

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... Data Engineering experience, including building and maintaining data pipelines and analytical ...

Practical experience with deep learning: internships, undergrad or masters' level research projects ... Comfort working across research and engineering boundaries Nice to have * Experience with NVIDIA ...

Practical experience with deep learning: internships, undergrad or masters' level research projects ... Comfort working across research and engineering boundaries Nice to have * Experience with NVIDIA ...

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus. * 5+ years of experience in machine learning and data related roles. * Proven ...

AI/ML Engineer

New York, NY · On-site

$175K/yr

Internship or project experience in AI engineering, machine learning, or related quantitative disciplines * Experience within financial services, risk-based, or regulated industries * Familiarity ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

In this role, you'll be expected to perform many ML engineering activities, including one or more ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

In this role, you'll be expected to perform many ML engineering activities, including one or more ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Machine Learning Engineer ExaCare Inc - New York, New York, United States About this position ... This is an engineering-focused role centered on building the workflows, infrastructure, and ...

Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency ... Experience implementing Agent or Context engineering is strongly preferred * Experience with ...

Showing results 41-60

Internship Mechanical Engineering Machine Learning information

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 are the most commonly searched types of Mechanical Engineering Machine Learning jobs in New York?

The most popular types of Mechanical Engineering Machine Learning jobs in New York are:

What are popular job titles related to Internship Mechanical Engineering Machine Learning jobs in New York?

For Internship Mechanical Engineering Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Mechanical Engineering Machine Learning jobs in New York look for?

The top searched job categories for Internship Mechanical Engineering Machine Learning jobs in New York are:

What cities in New York are hiring for Internship Mechanical Engineering Machine Learning jobs?

Cities in New York with the most Internship Mechanical Engineering Machine Learning job openings:

Infographic showing various Internship Mechanical Engineering Machine Learning job openings in New York as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Machine Learning Data Scientist - Research Translation & Prototyping

1 point system

New York, NY • On-site

Contractor

Re-posted 10 days ago


Job description

Qualifications:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required

• 5-7 years’ experience required

• Strong technical foundations in software engineering, machine learning, statistics, and experimental design.

• Experience building data-intensive applications, machine learning systems, experimentation platforms, or AI-powered products.

• Experience evaluating, debugging, and improving machine learning models, data pipelines, and AI-powered applications.

• Experience in programming and experience with problem diagnosis and resolution

• Ability to thrive in ambiguous, rapidly changing environments where requirements evolve through experimentation and discovery.

• Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies.