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Embedded Machine Learning Engineer Jobs in Dunkirk, NY

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Embedded Machine Learning Engineer information

See Dunkirk, NY salary details

$61.4K

$134.5K

$152.6K

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

As of Aug 24, 2026, the average yearly pay for embedded machine learning engineer in Dunkirk, NY is $134,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,300.00 and $151,800.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an embedded machine learning engineer?

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 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 cities near Dunkirk, NY are hiring for Embedded Machine Learning Engineer jobs?

Cities near Dunkirk, NY with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in Dunkirk, NY as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,545 per year, or $64.7 per hour.

Python developer - Need Local to NY - Onsite (Full Time)

The Dignify Solutions, LLC

Jamestown, NY • On-site

$46.75 - $64.50/hr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
The Dignify Solutions, LLC is seeking a Python Developer to design, develop, and maintain scalable full-stack applications. The role involves building AI-enabled features, architecting high-performance backend systems, and collaborating with cross-functional teams to deliver high-impact features.
Responsibilities:
• Design, develop, and maintain scalable full-stack applications using Python (FastAPI/Django) and React-based frontends
• Build and deploy AI-enabled features, including integrations with LLMs and advanced data-driven capabilities
• Architect high-performance backend systems, APIs, and distributed services ensuring reliability and scalability
• Develop intuitive and responsive user interfaces with modern JavaScript frameworks
• Optimize application performance, system efficiency, and cost through continuous improvement initiatives
• Manage end-to-end software lifecycle from design to deployment and post-production support
• Integrate with cloud platforms and third-party services to enable scalable and resilient systems
• Collaborate with cross-functional teams (product, design, data) to deliver high-impact features
• Ensure high standards in code quality, testing, security, and observability
Qualifications:
Required:
• Strong proficiency in Python, with frameworks such as FastAPI, Django, Flask
• Hands-on experience with React / modern JavaScript (HTML, CSS, TypeScript)
• Experience building REST APIs, microservices, and distributed systems
• Familiarity with LLM/AI integrations and data-driven product development
• Strong knowledge of cloud platforms (AWS/GCP/Azure) and deployment practices
• Experience with SQL/NoSQL databases and data modeling
• Understanding of performance optimization, scalability, and reliability engineering.
Company:
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains). Founded in , the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Dignify Solutions

Sourced by ZipRecruiter

The Dignify Best Serves To Its Clients By Adhering To And Executing Superior Processes. The company is dedicated to operational excellence as part of a client-centric mindset that assures consistent execution. The Dignify has developed and refined every step in the full lifecycle staffing fulfillment and consultant management practice

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

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