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Artificial Intelligence Machine Learning Engineer Jobs in New York

Artificial Intelligence/Machine Learning Engineer -- Entry Level We are looking for an Entry-Level AI/ML Engineer to help build AI-driven applications and machine learning solutions. The candidate ...

New

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 ...

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and ...

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

... Street as a Machine Learning Engineer while also providing a truly unparalleled educational ... Intellectually curious, collaborative, and eager to learn * Humble and unafraid to ask questions ...

... Street as a Machine Learning Engineer while also providing a truly unparalleled educational ... Intellectually curious, collaborative, and eager to learn * Humble and unafraid to ask questions ...

We are looking for an experienced software engineer with machine learning expertise to join us in ... Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG ...

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Artificial Intelligence Machine Learning Engineer information

See New York salary details

$34.5K

$140.9K

$211.7K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for artificial intelligence 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 artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

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

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

What cities in New York are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in New York with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $140,878 per year, or $67.7 per hour.

Machine Learning Engineer

Emonics LLC

Manhattan, NY • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Artificial Intelligence/Machine Learning Engineer — Entry Level Job Description


We are looking for an Entry-Level AI/ML Engineer to help build AI-driven applications and machine learning solutions. The candidate will work with AI models, APIs, and data pipelines to support intelligent systems.


Responsibilities

Design, develop, train, and deploy machine learning and AI models.

Collect, clean, preprocess, and analyze large datasets.

Build and integrate Generative AI, LLM, NLP, or computer vision solutions where applicable.

Develop production-ready ML pipelines and APIs.

Stay current with emerging AI/ML technologies, frameworks, and research.


Required Skills:

Understanding of model deployment, APIs, and MLOps.

SQL and data processing.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Strong problem-solving and analytical skills.


Emonics logo

About Emonics

Sourced by ZipRecruiter

Emonics LLC is a Certified Minority Business Enterprise as designated by the National Minority Supplier Diversity Council. Emonics provide the relevant talent at the right moment. We are a global technology firm with a strong customer focus and an IT and Engineering solutions provider catering to a diverse client base while focusing on finding solutions. We place high value on developing meaningful connections and conversations. We find, align, provide, and manage various managed IT and staffing services. Yes! It’s true! Our experts strive to become an extension of your HR department. We enable our clients to access top industry professionals. Our highly skilled team of specialists generates and integrates very profitable products and strategies. All our strategies are designed to help our clients reach their operational and financial objectives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2016