1

Embedded Machine Learning Engineer Jobs in Pennsylvania

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of ...

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of ...

* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship or required due to government contract requirements * $230-280,000 base + Equity + Benefits About ...

Senior Machine Learning Engineer

Malvern, PA

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps ...

Senior Machine Learning Engineer

Malvern, PA ยท On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.

Machine Learning Engineer III

Pittsburgh, PA ยท On-site

$111K - $133K/yr

They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at enhancing patient care and operational efficiency in hospital settings. Responsibilities ...

next page

Showing results 1-20

Embedded Machine Learning Engineer information

See Pennsylvania salary details

$70.2K

$153.8K

$174.4K

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

As of Aug 31, 2026, the average yearly pay for embedded machine learning engineer in Pennsylvania is $153,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $173,400.00 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 are popular job titles related to Embedded Machine Learning Engineer jobs in Pennsylvania?

For Embedded Machine Learning Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What cities in Pennsylvania are hiring for Embedded Machine Learning Engineer jobs?

Cities in Pennsylvania with the most Embedded Machine Learning Engineer job openings:

Infographic showing various Embedded Machine Learning Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $153,752 per year, or $73.9 per hour.

Machine Learning Engineer(S)

Pittsburgh, PA โ€ข On-site

Jconnect Infotech Inc
Specialized Design Servicesย โ€ขย 201 - 500 employees

Other

Re-posted 21 days ago


Job description

Hello,

Greetings!!!

My client is seeking a full-time Machine Learning Engineer. Please review the details below and let me know the best time to connect.

Title: Machine Learning Engineer

Location: Pittsburgh, PA

Duration: Full-time

Salary Market

JOB DESCRIPTION: -

Skill: Machine Learning Engineer

Must Have Technical/Functional Skills:

  • A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
  • Strong knowledge of R, Python, and Java.
  • Strong knowledge of statistics.
  • Strong critical thinking and problem resolution skills.

Roles & Responsibilities:

  • Research, develop, and implement machine learning algorithms for use in software and hardware applications.
  • Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems.
  • Analyse and review enhancement requests and specifications.
  • Implement changes to algorithms to improve performance.
  • Troubleshoot problems to improve user experience.
  • Provide quality assurance reviews.
  • Perform post-implementation validation of machine learning models and resolve any bugs found during testing

Looking forward to your response .
With Best Regards,
Srajan Mishra
Jconnect Infotech Inc.
Ph# 856 -576-5919 |Email: srajan.m@jconnectinc.com
168 Barclay Center Ste. 347,
Cherry Hill, NJ 08034
http://jconnectinc.com/


Jconnect Infotech logo

About Jconnect Infotech

Sourced by ZipRecruiter

Jconnect Infotech is an esteemed corporation that operates within the Information Technology sector based in Noida, Uttar Pradesh, India. As a technology-driven firm, it offers various services such as IT Solutions, Software Development, Staffing Solutions and Management Consulting to businesses globally. Established as a pivotal player in its field, Jconnect Infotech was founded on the principles of delivering optimal solutions and promoting technological advancement within various industries. Their mission is to deliver innovative, cost-effective solutions and services to clients while maintaining their core values of integrity, excellence, and customer satisfaction.

Industry

Specialized design services

Company size

201 - 500 Employees

Headquarters location

Noida, Uttar Pradesh, in

Social media