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Mechanical Engineering Machine Learning Jobs in New York

Forhyre

Machine Learning Engineer

New York, NY · On-site

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

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 ...

Qualcomm

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

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 ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

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

Hang

Machine Learning Engineer

New York, NY · On-site +1

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 ...

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 ...

Qualcomm

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 ...

Point72

Machine Learning Engineer

New York, NY · On-site

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 ...

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All JobsMechanical Engineering Machine Learning JobsMechanical Engineering Machine Learning Jobs in New York

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

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

Mechanical Engineering Machine Learning jobs near you
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.

Machine Learning Developer

Elliot Partnership

New York, NY • On-site

Full-time

Re-posted 26 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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