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

Capital Rx

Senior Applied AI/ML Scientist

Manhattan, NY · On-site

$180K - $225K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML ... Help develop and productionize machine learning (ML) solutions leveraging our customized models in ...

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

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 ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

Experience as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to strategic technology initiatives. * Ability to align analytical and intelligent systems with real ...

GDR Defense

Sr. Data Researcher || 100% REMOTE

New York, NY · On-site

$140K - $160K/yr

... AI, machine learning and data mining, data visualization, natural language processing and big data ... Create distributed data processing architectures that leverage "compute at the edge" to enable ...

Amazon

Senior Software Development Engineer, AI

Newark, NJ · On-site

$128K - $168K/yr

ABOUT YOU We are seeking a highly skilled and innovative Senior AI/ML Engineer to design, architect, and implement cutting-edge machine learning solutions that drive transformative technological ...

Amazon

Senior Software Development Engineer, AI

Newark, NJ

$128K - $168K/yr

ABOUT YOU We are seeking a highly skilled and innovative Senior AI/ML Engineer to design, architect, and implement cutting-edge machine learning solutions that drive transformative technological ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

TSMG

AI/ML Data Contributor

New York, NY · On-site

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the most commonly searched types of Edge Ai Machine Learning jobs in New York?

The most popular types of Edge Ai Machine Learning jobs in New York are:

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

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

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

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

What cities in New York are hiring for Edge Ai Machine Learning jobs?

Cities in New York with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer / AI Engineer

1 point system

New York, NY • Remote

Contractor

Re-posted 8 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