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Senior Embedded Machine Learning Jobs in New York

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry ... with machine learning in embedded applications: model quantization, fixed point neural networks ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

From computer vision models that understand what is happening inside an oven to embedded AI systems that make real-time cooking decisions, you will help define how machine learning is applied within ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

Attentive

Senior Machine Learning Engineer

New York, NY

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

Phia

Senior Machine Learning Engineer

New York, NY · On-site

$185K - $265K/yr

Overview As a Senior Machine Learning Engineer at Phia, you'll build and scale production ML systems that power core product experiences and decision-making. You'll work across the full ML stack ...

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Senior Embedded Machine Learning information

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are some common challenges faced by Senior Embedded Machine Learning Engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What does a Senior Embedded Machine Learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.
What are the most commonly searched types of Embedded Machine Learning jobs in New York? The most popular types of Embedded Machine Learning jobs in New York are:
What cities in New York are hiring for Senior Embedded Machine Learning jobs? Cities in New York with the most Senior Embedded Machine Learning job openings:
Senior Embedded Machine Learning jobs near you

Senior Machine Learning Engineer

PROPRIUS

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 12 days ago

Job description

Sr. Machine Learning Engineer

Location: New York, NY

Sponsorship: Yes

Relocation: Yes

Industry: Machine Learning

A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry leader in many different facets, such as: apps, games, devices, applications and digital experiences across; online education, healthcare, gaming, robotics, experiential design, market research, automotive, retail, human resources, training and coaching, media and advertising, video communication, and in wearables and devices.

Originally a facial recognition company, this organization is constantly innovating and now looking for a Lead Machine Learning Engineer to expand their capacity to next generation vehicles which can act on both visual and audio cues.

When successful, your research will be deployed into millions of vehicles worldwide.

This is an opportunity to join a well-funded, highly regarded team who are partnered with and backed by world-leading tech giants. This company already has many existing clients, patented technology, and rapid growth plans.

For this role you will need;

  • PhD or MS in Computer Science and Electrical Engineering
  • Expert level coding skills (Python, C++ at minimum)
  • 3+ years’ experience working with machine learning in embedded applications: model quantization, fixed point neural networks (CNN and RNN)
  • Excellent research and problem-solving skills along with communication and the ability to flourish in a fast-paced environment.

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