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Mechanical Engineering Machine Learning Jobs in New York

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...

Reporting directly to the VP of Engineering, you will work with our data team, enrichment team and product to establish our source of truth and expand our machine learning capabilities. What You'll ...

Showing results 41-60

Mechanical Engineering Machine Learning information

See New York salary details

$49.8K

$112.6K

$182.2K

How much do mechanical engineering machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for mechanical engineering machine learning in New York is $112,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $138,400.00 per year, depending on experience, location, and employer.

What is a mechanical engineering machine learning job?

A Mechanical Engineering Machine Learning job involves applying machine learning techniques to solve mechanical engineering problems. This can include optimizing designs, predicting failures, automating processes, and improving system efficiency. Engineers in this field use data-driven models, simulations, and sensor data to enhance mechanical systems. The role requires knowledge of both mechanical engineering principles and machine learning algorithms.

What are typical projects or challenges faced by mechanical engineering machine learning professionals?

Mechanical Engineering Machine Learning professionals often work on projects involving predictive maintenance of mechanical systems, optimization of manufacturing processes, or the integration of smart sensors and IoT devices in industrial applications. A common challenge is translating mechanical data into meaningful inputs for machine learning models, requiring close collaboration with domain experts and software engineers. You may also tackle tasks like automating design processes, simulating complex systems, or developing algorithms for fault detection. These projects typically involve both independent problem-solving and team-based collaborations, making adaptability and communication critical to success.

What are the key skills and qualifications needed to thrive in mechanical engineering machine learning, and why are they important?

To thrive in a Mechanical Engineering Machine Learning role, you need a solid background in mechanical engineering principles and practical experience with machine learning algorithms, supported by a degree in mechanical engineering, computer science, or a related field. Proficiency in Python, MATLAB, CAD software, and machine learning libraries like TensorFlow or scikit-learn is highly valued, as are certifications in data science or AI. Analytical thinking, problem-solving, and effective collaboration are essential soft skills, helping you bridge mechanical systems and data-driven modeling. These skills enable innovative solutions for design, analysis, and automation in multidisciplinary engineering environments.

Can a mechanical engineering machine learning engineer become an AI/ML engineer?

A mechanical engineering machine learning engineer can transition to an AI/ML engineer by gaining expertise in programming languages like Python, understanding deep learning frameworks such as TensorFlow or PyTorch, and developing skills in data analysis and model deployment. Their background in machine learning provides a strong foundation, but additional focus on AI-specific concepts and projects is often necessary. Certifications or advanced coursework in AI and data science can facilitate this career shift.

Can mechanical engineers work in machine learning?

Mechanical engineers can work in machine learning by applying their knowledge of systems, modeling, and data analysis to develop algorithms for automation, robotics, and predictive maintenance. They often need skills in programming languages like Python or MATLAB and familiarity with machine learning frameworks such as TensorFlow or scikit-learn. Transitioning into machine learning roles may also require additional training or certifications in data science and artificial intelligence.

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

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

Infographic showing various Mechanical Engineering Machine Learning job openings in New York as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,552 per year, or $54.1 per hour.

Mechanical Engineering Tutor

Varsity Tutors

Stamford, CT • Remote

$18 - $40/hr

Part-time

Re-posted 3 days ago


Varsity Tutors rating

5.9

Company rating: 5.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

12th of 24 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Mechanical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Mechanical Engineering Tutor
  • Advanced Subject Mastery: Deep knowledge of statics, dynamics, mechanics of materials, thermodynamics, fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems. Ability to explain free body diagrams, stress-strain relationships, Bernoulli equation, and heat conduction principles while preparing students for mechanical engineering coursework, the FE examination, and professional practice.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down free body diagram construction, stress analysis, and thermal system design. Guides students through solving static equilibrium problems, analyzing beam deflection, designing heat exchangers, computing fluid flow parameters, and selecting machine components. Emphasizes systematic engineering problem-solving approaches and connects mechanical engineering to automotive, aerospace, energy systems, and manufacturing applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with mechanical engineering curricula and common challenges such as three-dimensional equilibrium problems, Mohr circle analysis, and thermodynamic cycle analysis. Adapts instruction using engineering handbooks, computational tools, and design project guidance to support undergraduate mechanical engineering students from introductory mechanics through advanced thermal-fluid systems and machine design courses.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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