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Embedded Machine Learning Engineer Jobs in Newark, NJ

FINNY

Machine Learning Engineer

Manhattan, NY · On-site

The Machine Learning Engineer will own the models that power various features across the product, collaborating with teams to improve ML systems that shape user outcomes. Responsibilities : • ...

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 ...

Teleskope

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

About the role We are seeking a Machine Learning Engineer to strengthen our element classification system - working closely with data scientists and data annotators to ship and improve entity ...

TransRe

Machine Learning Engineer

New York, NY · On-site

$145K - $170K/yr

Constructing machine learning models including data collection, normalization, and standardization, data pipeline construction, model selection and hyperparameter tuning, working ml systems that can ...

TransRe

Machine Learning Engineer

New York, NY · Hybrid

$145K - $170K/yr

Constructing machine learning models including data collection, normalization, and standardization, data pipeline construction, model selection and hyperparameter tuning, working ml systems that can ...

RunSybil

Machine Learning Engineer

New York, NY · On-site

About this Role We are seeking talented engineers intent on changing the security industry. If you ... Understanding of both modern and classic machine learning techniques * Equally comfortable with ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will ...

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 ...

DailyPay

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

They are seeking a Senior Machine Learning Engineer to enhance their machine learning infrastructure and collaborate with cross-functional teams to deliver impactful ML solutions. Responsibilities ...

WireScreen

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world's economic powerhouses: China. This role is critical to ...

Good Inside

Machine Learning Engineer

New York, NY

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team. This is not a research or data science role - we're looking for a strong backend engineer who has ...

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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 Jul 13, 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

Machine Learning Engineer

FINNY

Manhattan, NY • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
FINNY is a growth platform for financial advisors, focused on making quality financial guidance easier to find through AI-powered tools. The Machine Learning Engineer will own the models that power various features across the product, collaborating with teams to improve ML systems that shape user outcomes.
Responsibilities:
• Design, train, and iterate on custom models that power data imputation, prospect and audience recommendations, campaign customization and personalization, and automations.
• Take models from research → experimentation → deployment → iteration
• Own offline evaluation, online metrics, and feedback loops
• Improve model performance over time through better objectives, features, and training strategies—not just more data
• Operate effectively in low-signal, noisy, or cold-start environments
• Work with backend engineers to productionize models reliably and at scale
• Help define standards for model versioning, evaluation, deployment, and monitoring
• Influence long-term ML strategy and reduce technical debt in modeling workflows
Qualifications:
Required:
• Very strong Python with extensive hands-on experience building ML systems.
• Strong statistical and mathematical foundations.
• Proven experience training, fine-tuning, and deploying custom models into production, not just experimentation or offline research.
• Experience designing loss functions, evaluation metrics, and validation strategies aligned with real-world product objectives.
• Familiarity with model lifecycle management: versioning, reproducibility, monitoring, and iteration in production environments.
• You’ve taken models beyond notebooks and into real products.
• You understand failure modes, monitoring, and iteration in production ML.
• Startup experience.
• You care deeply about how models learn, not just how pipelines run.
• You’re comfortable reasoning about loss functions, tradeoffs, and evaluation.
• You enjoy designing solutions when the problem is underspecified and data is imperfect.
• You tackle ambiguity head-on and turn fuzzy problems into concrete experiments.
• You move fast, iterate, and aren’t precious about first approaches.
• You communicate clearly about model behavior, limitations, and tradeoffs.
• In-person, NYC (5 days/week in Chelsea office).
Company:
FINNY is an AI-powered prospecting and marketing platform that helps financial advisors identify and connect with potential clients. Founded in 2023, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.

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