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Artificial Intelligence Machine Learning Engineer Jobs in Edison, NJ

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 ...

AI/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 ...

Job#: 3049321 Machine Learning Engineer Location Jersey City, New Jersey (Onsite) Employment Type ... intelligence solutions. The role focuses on use cases within wealth management, private banking ...

Job#: 3049321 Machine Learning Engineer Location: Jersey City, New Jersey (Onsite) Employment Type ... intelligence solutions. The role focuses on use cases within wealth management, private banking ...

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Edison, NJ salary details

$31.9K

$130.6K

$196.2K

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

As of Sep 14, 2026, the average yearly pay for artificial intelligence machine learning engineer in Edison, NJ is $130,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $157,200.00 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 are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Edison, NJ?

For Artificial Intelligence Machine Learning Engineer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Edison, NJ look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Edison, NJ with the most Artificial Intelligence Machine Learning Engineer job openings:

Senior Machine Learning Engineer - Ads Predictions

New York, NY • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$134K - $176K/yr

Full-time

Re-posted 7 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 685 frontline employees who took The Breakroom Quiz


Job description

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses!
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!
Description
We're is looking for a highly skilled and motivated Machine Learning Engineer to join our Predictions group. We build the core machine learning models that power ad predictions and monetization across Apple's App Store and News platforms. The ideal candidate will bring deep expertise in machine learning, information retrieval, and large-scale modeling, and will thrive in a fast-paced, privacy-first environment.
You'll work at the intersection of applied ML, deep learning, and retrieval systems-developing models that predict user interaction, optimize marketplace outcomes, and scale across billions of queries. You'll also explore and operationalize emerging techniques in Large Language Models (LLMs), Reinforcement Learning, and representation learning to advance Apple's ad prediction systems.
Minimum Qualifications
6+ years of experience applying machine learning and statistical modeling at scale, preferably in ad tech, recommender systems, or web-scale search/retrieval
Deep experience with neural network architectures (e.g., Transformers, DNNs, RNNs) and training pipelines using TensorFlow, PyTorch
Practical understanding of reinforcement learning, explore/exploit strategies, and bandit-based optimization
Experience working with high-volume data pipelines, A/B testing infrastructure, and performance measurement at scale
Proficient in Python and familiar with SQL, Scala, or Java for production environments
Ability to translate abstract ideas into concrete, high-impact solutions
Bachelor's, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.
Preferred Qualifications
MS or PhD, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.
Great foundation in information retrieval, including query-document matching, embedding-based ranking, and learning-to-rank algorithms is a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976