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Mechanical Engineering Machine Learning Jobs in New York

ExaCare Inc

Machine Learning Engineer

Manhattan, NY · On-site

$100 - $130/hr

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 ...

3B Staffing LLC

Machine Learning SME

Manhattan, NY · On-site

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 ...

3B Staffing LLC

Machine Learning SME

Manhattan, NY · On-site

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 ...

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 ...

Apex Systems

Machine Learning Engineer

Jersey City, NJ · On-site

Job#: 3049321 Machine Learning Engineer Location: Jersey City, New Jersey (Onsite) Employment Type ... An advanced graduate degree in Engineering, Mathematics, Statistics, Computer Science, Actuarial ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

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

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

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 ...

Root Access, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$140 - $190/hr

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 ...

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

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 ...

Varsity Tutors

Mechanical Engineering Tutor

Summit, NJ · Remote

$18 - $40/hr

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.

Varsity Tutors

Mechanical Engineering Tutor

Yonkers, NY · Remote

$18 - $40/hr

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.

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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 Engineer

ExaCare Inc

Manhattan, NY • On-site

$100 - $130/hr

Other

Medical, Dental, Vision, PTO

Re-posted 2 days ago

Job description

Machine Learning Engineer

ExaCare Inc – New York, New York, United States

About this position

ExaCare AI is a leading health tech company on a mission to build the AI operating system for post-acute care. Our platform turns messy, unstructured referral packets into clear clinical insights and next steps, so teams can make faster, safer placement decisions with less administrative burden. Today, ExaCare AI powers more than 2000 facilities, and is growing rapidly.

We recently raised a $30M Series A led by Insight Partners, and are bringing world-class talent together to transform healthcare. If you like building, learning, and want to make a real impact, come join us!

About the Role

We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems. This is an engineering-focused role centered on building the workflows, infrastructure, and processes that enable ML to move from research into reliable production systems.

You will partner closely with research-oriented ML teammates and help turn their work into scalable, maintainable, and cost-effective production systems. This includes building and improving data pipelines, training pipelines, deployment workflows, monitoring systems, and supporting infrastructure that allow the team to move faster and operate ML systems with confidence.

This is not a research-first role. It is best suited for someone who is excited by the systems, tooling, and operational side of machine learning.

What You’ll Do
  • Build and maintain the workflows and infrastructure that support the end-to-end ML lifecycle
  • Partner with researchers and ML practitioners to productionize models and enable faster iteration
  • Design, build, and improve data pipelines and training pipelines
  • Improve data processing, annotation workflows, and ML system efficiency
  • Deploy and maintain the background systems that support model training and inference
  • Build tooling and processes for monitoring model performance, system reliability, and operational health
  • Improve the scalability, observability, and reproducibility of ML systems
  • Optimize ML infrastructure for speed, reliability, and cost-efficiency
  • Identify bottlenecks in the ML workflow and automate or streamline manual processes
  • Help establish best practices around ML operations, deployment, and system performance
What You’ll Bring
  • Proven (3+ years) of experience in machine learning engineering, MLOps, ML infrastructure, data engineering, or backend/platform engineering in ML environments
  • Experience supporting ML systems end to end, from model handoff through deployment and monitoring
  • Strong experience building and owning data pipelines, training pipelines, or other production workflows that support ML
  • Experience working closely with researchers, data scientists, or ML practitioners to productionize models
  • Strong software engineering fundamentals and experience building production systems
  • Experience with monitoring, debugging, and improving production ML or data systems
  • A track record of improving reliability, scalability, speed, and/or cost efficiency in ML systems
  • Comfort operating in a fast-moving, startup-style environment with a high degree of ownership
  • Competitive salary and equity in a high-growth startup
  • Flexible PTO, take what you need
  • Medical, dental, and vision coverage
  • Great startup culture, including company off-sites
  • High-achieving team, including ex-Amazon engineers and alumni of Bain, BCG, Goldman Sachs, and more
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