ZipRecruiter

Log In

1

Embedded Machine Learning Engineer Jobs in Newark, NJ

Finch Services

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

Machine Learning Engineer Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well -- and we're building the AI to fix it. As a Machine ...

Entravision

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer New York, NY | Full Time COMPENSATION RANGE: 140,000.00 - 170,000.00 (On Target Earnings) The Role: As a Machine Learning Senior Engineer you will be part of all the major ...

Inizio Partners

Machine Learning Engineer (GCP)

Manhattan, NY · Remote

$58.25 - $79.75/hr

Machine Learning Engineer- 2 Positions Overall experience of minimum 7 years and machine learning experience of at least 3 - 4 years. Location- Remote Overview: As a GCP ML Engineer, you'll design ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise could directly influence how the world's most advanced AI systems reason, plan, and solve problems ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Spotify

Machine Learning Engineer

New York, NY · On-site

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Treeswift Inc

Machine Learning Engineer

New York, NY · On-site

Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Jane Street

Machine Learning Engineer

Manhattan, NY

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform. Machine ...

next page

Showing results 1-20

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Newark, NJ

Embedded Machine Learning Engineer information

See Newark, NJ salary details

$73.2K

$160.4K

$182K

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

As of Jun 8, 2026, the average yearly pay for embedded machine learning engineer in Newark, NJ is $160,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $180,900.00 per year, depending on experience, location, and employer.

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

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Newark, NJ? For Embedded Machine Learning Engineer jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Newark, NJ look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Embedded Machine Learning Engineer jobs? Cities near Newark, NJ with the most Embedded Machine Learning Engineer job openings:
Embedded Machine Learning Engineer jobs near you

Machine Learning Engineer

Root Access Inc

New York, NY • On-site

Full-time

Posted 28 days ago

Job description

Company Overview:
Root Access is an applied AI company building developer tools. We help mission-critical hardware teams leverage purpose-built AI to program and certify their systems faster.
Role Description:
The Machine Learning Engineer will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product. They work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Their goal is to build efficient self-learning applications that will delight customers. This is an early-stage company with ambitious goals.
You might be a good fit if you have:
  • Proficiency in PyTorch and modern-transformer based systems
  • Experience with AWS for scalable ML service deployment
  • Experience building with Agentic AI frameworks (e.g., RAG, Langchain, MCP, etc)
  • Have 1-3+ years of full-time experience in an MLE role

What We're Looking For:
  • Strong ML Foundations - Experience with recommender systems, embeddings, foundation models. You understand when to use the fancy stuff-and when to keep it simple.
  • Production Mindset - You've shipped ML systems that run in the real world. You write reliable Python, know your way around infra basics, and care about performance.
  • Data Agility - You've worked with messy data-scraping, parsing, cleaning, and transforming it into something your models can learn from.
  • Frontend Awareness - You're not expected to be a frontend engineer, but you know how to make ML feel native in a modern React-based product.
  • High Ownership DNA - You see the problem, spec the solution, and ship. You don't need permission-you need a challenge.
  • 1-of-1 Energy - You've been underestimated, or boxed in. You're ready to work somewhere that lets you fully show what you're capable of.

Apply