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Mechanical Engineering Machine Learning Jobs in New York

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 ...

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

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 ...

They are seeking a Machine Learning professional capable of tackling research problems with ... Veterinary, Engineering, Operations, Sales, Quality, HR, and Finance positions. Founded in 2011 ...

Our ML team is full of people with a shared love for the craft of software engineering, and for ... Successful ML engineers will be able to understand the mechanics behind various modeling techniques ...

Our ML team is full of people with a shared love for the craft of software engineering, and for ... Successful ML engineers will be able to understand the mechanics behind various modeling techniques ...

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 ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

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 ...

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 ...

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking. Working on a small, high-impact team, you will have significant ownership over the strategy, research ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

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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 Jul 26, 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.

Can you make $200,000 a year as a mechanical engineer?

Mechanical engineers can earn $200,000 or more annually, typically in senior roles, specialized fields, or with extensive experience and advanced skills such as CAD software, project management, or certifications. High salaries are often found in industries like aerospace, energy, or in managerial positions, especially in regions with a high cost of living or demand for engineering expertise.

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 engineers make $500,000?

Senior mechanical engineers with extensive experience, specialized skills in areas like automation or robotics, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost regions or large corporations. Achieving this level often requires advanced degrees, professional certifications, and a strong track record of project management and innovation.

What are the key skills and qualifications needed to thrive in the Mechanical Engineering Machine Learning position, 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.

What engineers make $300,000 a year?

Senior mechanical engineers with extensive experience, specialized skills, and advanced certifications can earn $300,000 or more annually, especially in high-demand industries like aerospace, automotive, or energy. Roles involving leadership, project management, or working in competitive markets tend to offer higher compensation.

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. Gaining skills in programming languages like Python, and understanding data science and AI tools, can facilitate their transition into machine learning roles. Interdisciplinary expertise enhances their ability to solve complex engineering problems using machine learning techniques.

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 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:
Infographic showing various Mechanical Engineering Machine Learning job openings in New York as of July 2026, with employment types broken down into 89% Full Time, and 11% Nights. 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

Posted 15 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.