ZipRecruiter

Log In

1

Ai Machine Learning Engineer Jobs in New York (NOW HIRING)

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 ... Today, ExaCare AI powers more than 2000 facilities, and is growing rapidly. We recently raised a ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team ... This role will apply the latest AI technologies to solve various real-world problems and streamline ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team ... This role will apply the latest AI technologies to solve various real-world problems and streamline ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

Goodfire is a research company focused on building safe and powerful AI systems through interpretability. They are seeking Machine Learning Engineers to develop their platform for training ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

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 ...

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 ... Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.

Hang

Machine Learning Engineer

New York, NY · On-site +1

Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques ... Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch)

Forhyre

Machine Learning Engineer

New York, NY · On-site

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

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 ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and ... Today, exacare ai powers more than 2,000 facilities, and is growing rapidly. We recently raised a ...

Capital One

Lead Machine Learning Engineer

New York, NY

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The focus of this particular team is to make an impact on enterprise-wide AI coding tools. What You ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The focus of this particular team is to make an impact on enterprise-wide AI coding tools. What You ...

previous pagenext page

Showing results 21-40

All JobsAi Machine Learning Engineer JobsAi Machine Learning Engineer Jobs in New York

Ai Machine Learning Engineer information

See New York salary details

$34.5K

$140.9K

$211.7K

How much do ai machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai machine learning engineer in New York is $140,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,600.00 per year, depending on experience, location, and employer.

What is an AI machine learning engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as an AI machine learning engineer?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI machine learning engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

What is the difference between Ai Machine Learning Engineer vs Data Scientist?

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

Is AI Machine Learning Engineer in demand?

AI Machine Learning Engineers are in high demand due to the growing adoption of artificial intelligence across industries. They typically require skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch, and job opportunities are expected to continue expanding as AI applications become more widespread.

What are popular job titles related to Ai Machine Learning Engineer jobs in New York?

For Ai Machine Learning Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Ai Machine Learning Engineer jobs in New York look for?

The top searched job categories for Ai Machine Learning Engineer jobs in New York are:

Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $140,878 per year, or $67.7 per hour.

Machine Learning Engineer / AI Engineer

1 point system

New York, NY • Remote

Contractor

Re-posted 11 days ago

Job description

Must Haves:
Neural networks
NLP
Python
AZURE
Pytorch or tensorflow
Job Description:
Machine Learning Engineer / AI Engineer Role

Role Overview

This role is focused on developing, deploying, and optimizing machine learning models for enterprise applications. The ideal candidate should have strong hands-on experience with machine learning algorithms, neural networks, NLP, Python/R/SQL, modern ML frameworks, Microsoft Azure, and DevOps/MLOps practices. This is not just a data science research role — the candidate needs to be able to build models and support deployment/management in a production environment.

Must-Have Skills

The candidate must have hands-on experience with:

  • Supervised and/or unsupervised machine learning algorithms
  • Neural networks
  • Natural Language Processing, NLP
  • Python
  • R
  • SQL
  • TensorFlow, Keras, and/or PyTorch
  • Microsoft Azure cloud platform
  • DevOps and/or MLOps practices
  • Model development, deployment, optimization, and lifecycle management