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Internship Mechanical Engineering Machine Learning Jobs in New Rochelle, NY

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 ...

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 ...

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 ...

Lead Machine Learning Engineer

New York, NY · On-site

$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

$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 ...

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 ...

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 ...

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 ...

Our client is looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and ...

New

Our client is looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and ...

New

Showing results 41-60

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:

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.

Full-time

Posted 3 days ago

New


Job description

Machine Learning Engineer

Newark, New Jersey, United States

Job Description

As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value.

Key Responsibilities

  • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.
  • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.
  • Partner with data scientists to understand, implement, train, and design machine learning models.
  • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform.
  • Construct optimized data pipelines to feed machine learning models.
  • Extend existing machine learning libraries and frameworks.
  • Develop processes, model monitoring, and governance framework for successful ML model operationalization.
  • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results.
  • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations.
  • Design and implement the best architectural practices in the delivery of data science use cases.

Key Skills/Knowledge/Experience

  • 7+ years of experience in Machine Learning.
  • Extensive software engineering experience with strong working experience as a Machine Learning Engineer.
  • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred.
  • Advanced proficiency with Python, Java, and Scala.
  • Strong computer science fundamentals such as algorithms, data structures, multithreading.
  • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG.
  • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch
  • In-depth experience building solutions using public clouds such as AWS, GCP.
  • Experience using ML platforms like SageMaker, H2O, DataRobot, etc.
  • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc.
  • Experience managing relationships in a cross-functional environment with multiple stakeholders.
  • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud.
  • Experience working in Agile/ Scrum development process.
  • Thought leadership and innovative thinking.
  • Excellent communication and collaboration skills.

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