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Embedded Machine Learning Engineer Jobs in Missouri

Deloitte

Senior AI Engineer - SFL Scientific

Saint Louis, MO · On-site

$101.60K - $139.50K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Deloitte

Senior AI Engineer - SFL Scientific

Kansas City, MO · On-site

$102K - $140K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Lancesoft

Software Engineer-Embedded 4

Hazelwood, MO · On-site

$82.03 - $93.75/hr

... Embedded Cyber Software Developer to support cybersecurity initiatives focused on secure boot ... Additionally, we provide opportunities for continuous learning and career advancement, including ...

SynergisticIT

Java Web Developer

Kansas City, MO

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Pwc

US Tech - AI Engineering Manager

Kansas City, MO

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

Koantek

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ... of programming for data-intensive and scalable ML applications. • Proven experience in deploying ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type ... This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of ...

Pwc

US Tech - AI Engineering Manager

Saint Louis, MO

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Missouri

Embedded Machine Learning Engineer information

See Missouri salary details

$65.7K

$143.9K

$163.2K

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

As of May 30, 2026, the average yearly pay for embedded machine learning engineer in Missouri is $143,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $162,300.00 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 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 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 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 Missouri? For Embedded Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Missouri look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Missouri are:
What cities in Missouri are hiring for Embedded Machine Learning Engineer jobs? Cities in Missouri 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 Missouri as of May 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $143,874 per year, or $69.2 per hour.
Machine Vision Engineer

Machine Vision Engineer

Hunter Engineering Company

Bridgeton, MO

Other

Medical, Vision, PTO

Posted 21 days ago

Hunter Engineering Company rating

9.3

Company rating: 9.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

9th of 415 rated machine equipment manufacturers

Job description

Looking to build your career with a company that values innovation, stability, and people? Join our dedicated team as a Machine Vision Engineer in Bridgeton, MO!

Since 1946, Hunter Engineering has been aligning cutting-edge technology with a strong commitment to quality. As a family-owned, American-made company, Hunter is the global leader in automotive service equipment, with our products used in over 130 countries by top vehicle manufacturers, tire companies, and service centers.

Were proud to be recognized as a Best Places to Work finalist by the St. Louis Business Journal for four consecutive years (2022 2025) a testament to our commitment to our people. Here, employees are supported, challenged, and take pride in their work. We offer exceptional benefits, a healthy work-life balance, and meaningful opportunities for professional growth.

If youre ready to join a team thats shaping the future of automotive service, read on.

As a R&D Engineering II Machine Vision, you will design and develop machine vision-based products emphasizing electronics and software development.

What Youll Do:

  • Perform new product research and conceptual design as a design team member.
  • Develop, implement, and test vision-based software algorithms.
  • Develop, implement, and test vision-based electronics.
  • Support the development of application-level software.
  • Support further development of existing products as needed.
  • Support the development of factory test fixtures as required
  • Additional duties as assigned.

What Youll Bring:

  • Bachelors degree in Electrical Engineering or Computer Engineering
  • 3-5years of experience designing and developing electronics and software for machine vision systems.
  • Knowledgeable in image processing, image analysis, 3D perspective geometry, pattern recognition algorithms, and metrology algorithms.
  • Experience in board-level electronic design, including imager, microcontroller, PLD, memory architecture, low-voltage power supply, and basic analog design.
  • Experience in embedded code development in C/C++.
  • Experience developing application-level software, including screen design and user interface design.
  • Experience developing systems in C and C++ using a Windows-based development environment is required. Experience with Microsoft Visual Studio is preferred.
  • Experience working in a multiple developer team environment with configuration management and defect tracking tools is preferred.
  • Experience specifying or designing machine vision system hardware (cameras, optics, lighting, etc.) is preferred.

What We Offer:

  • Industry-Leading Healthcare Coverage
  • Profit-Sharing Plan with Safe Harbor Contribution
  • Generous Paid Time Off & Holidays
  • Paid Parental Leave
  • Tuition Reimbursement Program
  • Free Onsite Fitness & Recreation Center

Join us in our mission to Align People and Innovation to Drive Excellence!

  • Make Lives Better Together
  • Take Pride in the Extraordinary
  • Define the Standard

Apply