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Hourly Embedded Machine Learning Jobs in St Louis, MO

COPE PLASTICS INC

CNC MACHINIST LATHE (3rd shift)

Alton, IL · On-site

$21.97 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hourly rate starting at $21.97/hour (higher based on experience) + shift differential. Essential ... Adjusts machine and fixture stops to maintain tolerance requirements. * Interprets part drawings ...

COPE PLASTICS INC

CNC MACHINIST LATHE (2nd shift)

Alton, IL · On-site

$21.97 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hourly rate starting at $21.97/hour (higher based on experience) + shift differential. Essential ... Adjusts machine and fixture stops to maintain tolerance requirements. * Interprets part drawings ...

COPE PLASTICS INC

CNC MACHINIST LATHE (2nd shift)

Alton, IL · On-site

$21.97 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hourly rate starting at $21.97/hour (higher based on experience) + shift differential. Essential ... Adjusts machine and fixture stops to maintain tolerance requirements. * Interprets part drawings ...

COPE PLASTICS INC

CNC MACHINIST LATHE (3rd shift)

Alton, IL · On-site

$21.97 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hourly rate starting at $21.97/hour (higher based on experience) + shift differential. Essential ... Adjusts machine and fixture stops to maintain tolerance requirements. * Interprets part drawings ...

Enova International

Be Seen First

Collection Specialist (Remote)

Saint Louis, MO · Remote

$18/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The budgeted hourly rate for this position is $18.00/hr. Additional compensation for this role may ... machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike ...

Husch Blackwell Llp

Senior Pricing Analyst

Saint Louis, MO · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... and machine learning (ML), and their applications in pricing, budgeting, and financial modeling ... Support the development of non-hourly and alternative fee arrangements (AFAs) using advanced ...

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Showing results 21-40

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in St. Louis, MO

Hourly Embedded Machine Learning information

See St Louis, MO salary details

$68.1K

$149.1K

$169.2K

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

As of Aug 13, 2026, the average yearly pay for hourly embedded machine learning in St. Louis, MO is $149,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are popular job titles related to Hourly Embedded Machine Learning jobs in St. Louis, MO? For Hourly Embedded Machine Learning jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in St. Louis, MO look for? The top searched job categories for Hourly Embedded Machine Learning jobs in St. Louis, MO are:
Hourly Embedded Machine Learning jobs near you

Dish Machine Operator

Firebirds Wood Fired Grill

Saint Charles, MO

$11.25 - $14/hr

Full-time

Medical, PTO

Re-posted 4 days ago

Firebirds Wood Fired Grill rating

6.0

Company rating: 6.0 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

40th of 87 rated restaurants

Job description

At Firebirds, every role plays an important part in creating extraordinary guest experiences. As a Dish Machine Operator, you are a key part of our Back of House team—ensuring cleanliness, safety, and organization so the kitchen can operate at its highest level.

Your work supports every plate that leaves the kitchen and every guest experience we deliver.

What you can expect from us:

Our team members are the most important stakeholder here at Firebirds Wood Fired Grill and such an important part of our brand. We ensure that our team members receive extensive training and development, are continuously set up for success, and feel welcomed in our Firebirds family! Never worked in a restaurant before but have a passion for learning more? It will be our pleasure to start you in a role where you can train and develop skillsets to become a hospitality expert!


What You’ll Do

  • Maintain a clean, safe, and organized dish and sanitation area.
  • Operate the dish machine efficiently while maintaining proper water temperatures and chemical levels.
  • Wash, rinse, and sanitize dishes following food safety standards.
  • Stack and rinse dishware for optimal cleaning results.
  • Drain, clean, and refill dish tanks throughout the shift to maintain standards.
  • Restock clean wares to proper locations to support kitchen flow.
  • Remove trash, break down boxes, and maintain clean disposal areas.
  • Maintain dumpster area cleanliness and sanitation.
  • Complete prep tasks and support kitchen team members as needed.
  • Follow all opening, closing, and cleaning checklists.
  • Keep your station clean, organized, and ready for service at all times.
  • Work as part of a fast-paced, team-driven kitchen environment.

What’s in it for you:

  • Flexible schedules! Time-off on holidays— closed on Christmas and Thanksgiving Day; early closure on Christmas Eve!
  • Competitive hourly wage
  • New store openings— we are growing and with growth comes opportunities for advancement!
  • Extensive training and development— we focus on building your knowledge during training and it doesn't stop there--continued education is a focus to make sure our team members are experts in their positions.
  • Benefits for eligible team members—medical and paid time-off!
  • Team member motivation— discounted meals, exhilarating contests, and thrilling prizes!

Qualifications:

  • Basic knowledge of kitchen safety and sanitation standards.
  • Strong attention to cleanliness, organization, and detail.
  • Ability to work efficiently in a fast-paced environment.
  • Team-first mindset and willingness to support wherever needed.
  • Ability to stand for extended periods and perform repetitive motions.
  • Ability to bend, reach, push, pull, and lift up to 50 lbs frequently.
  • Reliable transportation.
  • Commitment to safety procedures and consistent execution.

You may also apply in person at your local Firebirds Wood Fired Grill Monday through Friday between 2 pm and 4 pm!

If you’re passionate about hospitality and delivering exceptional guest experiences—whether in person or to-go—we’d love to meet you.


Grow your skills and find your fire.

Firebirds is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.


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