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Mechanical Engineering Machine Learning Jobs in New York

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and ... Required : • 5+ years of experience in ML infra, research engineering, or systems programming ...

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.

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Direct experience with LLMs, including fine‑tuning, prompt engineering, RAG, and efficient ...

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 ...

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 ...

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 ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... Collaborate closely with engineering teams to align ML work with customer needs and deliver ...

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 Aug 16, 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.

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 August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,552 per year, or $54.1 per hour.

Machine Learning Engineer

Goodfire

Manhattan, NY • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Goodfire is a research company focused on understanding and designing AI systems. They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of core technology and product features.
Responsibilities:
• Turn cutting edge interpretability research into production ready tools.
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
• Integrate new machine learning workflows and pipelines into our product and deploy to customers.
• Ensure system reliability, reproducibility, and performance.
Qualifications:
Required:
• 5+ years of experience in ML infra, research engineering, or systems programming.
• Comfort working across research and engineering boundaries.
• Expertise in Python, PyTorch or Jax, and distributed systems.
• Experience deploying and maintaining ML systems at scale.
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred:
• Open-source ML infra contributions.
• Startup or frontier lab experience in fast-moving teams.
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.