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Embedded Machine Learning Engineer Jobs in Hebron, OH

AssetWatch, Inc.

Head of AI

Columbus, OH

Build, lead, and develop the team across Machine Learning Engineering, Machine Learning , and AI Engineering. * Recruit, develop, and retain high-performing data scientists, ML engineers, and AI ...

Pwc

CTIO AI Engineering Manager

Columbus, OH · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Senior Forward Deployed Engineer- AWS

Columbus, OH · On-site

$100K - $138K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Columbus, OH

$99K - $130K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Vertiv Co

Advanced Controls Engineer

Westerville, OH

$80K - $104K/yr

Demonstrated expertise in system validation for controls platforms (embedded, automation, software ... Machine learning and artificial intelligence technologies Travel: Willingness to travel up to 10% ...

Vertiv Group Corp.

Advanced Controls Engineer

Westerville, OH · On-site

$80K - $104K/yr

Demonstrated expertise in system validation for controls platforms (embedded, automation, software ... Machine learning and artificial intelligence technologies Travel: Willingness to travel up to 10% ...

Battelle

ASIC/FPGA/Hardware Engineer

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... unique embedded security solutions for government and industrial customers. Battelle has been ... Machine Learning and/or Data Mining * Trusted Electronics, Hardware Security, Side-Channel Analysis

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is responsible for ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is responsible for ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is responsible for ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is responsible for ...

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Showing results 41-60

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Hebron, OH

Embedded Machine Learning Engineer information

See Hebron, OH salary details

$64.2K

$140.6K

$159.5K

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

As of Aug 19, 2026, the average yearly pay for embedded machine learning engineer in Hebron, OH is $140,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $158,600.00 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 Hebron, OH are hiring for Embedded Machine Learning Engineer jobs?

Cities near Hebron, OH 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 Hebron, OH as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $140,586 per year, or $67.6 per hour.

Urgent Hiring || Python Engineer (AI/ML) OR Data Engineer with AI/ML | USC, GC, EADs | Columbus OH

HighFalutin LLC

Columbus, OH • On-site

Contractor

Re-posted 2 days ago

Job description

Please find the JD for below role and let me know if you are interested then please share your updated resume.

Python Engineer (AI/ML) OR Data Engineer with AI/ML OR Data Science (AI/ML)

Columbus OH
Relocation is open with prior history/ reason

Visa: USC, GC, EADs

Must Have Skills:

Need Python development and some experience in ML/AI

 

Must:    Python , Spark/Pyspark, AWS

Plus:      Data Bricks, Terraform

With AI/ML - preferred

Required qualifications, capabilities, and skills

Formal training or certification on Software Engineering concepts and 5+ years applied experience

Hands-on with building AI agents and Machine learning

Hands-on practical experience delivering system design, application development, testing, and operational stability

Strong hands-on coding capabilities in languages / platforms such as PySpark / Python / Databricks

Proficiency in automation and continuous delivery methods

Proficient in all aspects of the Software Development Life Cycle

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

In-depth knowledge of the financial services industry and their IT systems