ZipRecruiter

Log In

1

Hourly Embedded Machine Learning Jobs in Illinois

InRule Technology, Inc.

Senior Data Engineer

Chicago, IL · On-site

$140K - $170K/yr

... machine learning to help IT and business leaders make better decisions faster, operationalize AI ... Develop and optimize reporting and analytics experiences delivered through embedded analytics ...

Motorola

Director of Computer Vision

Virginia, IL

Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated ...

Motorola

Director of Computer Vision

Tennessee, IL

Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated ...

Uottawa

CUPE-- Automne/Fall 2026- AE/TA-CSI5155

Campus, IL · On-site

$31.89 - $50.25/hr

Machine Learning Course Code: CSI5155 Section: Supervisor name (if known): Date Posted (YYYY/MM/DD ... December 31, 2026 Total Work Hours: 130 Hourly Rate: AE-RA-Tuteur / TA-RA-Tutor : $31.89 ou/or $50 ...

Advantech USA

Technical Program Manager

Chicago, IL · On-site +1

$89K - $110K/hr

... embedded systems, AI infrastructure, machine learning, semiconductor, and next-generation edge computing platforms. This role will lead complex hardware and software development programs from concept ...

Advantech

Technical Program Manager

Chicago, IL · On-site

$85K - $92K/yr

... embedded systems, AI infrastructure, machine learning, semiconductor, and next-generation edge computing platforms. This role will lead complex hardware and software development programs from concept ...

Aerotek

Machine Operator Union $24.56 Starting

Northbrook, IL · On-site

$17.25 - $20.50/hr

... learning machine operation and can apply for the titled Machine Operator role after 90 days, which comes with a higher pay rate. In addition to competitive hourly pay, you receive a gain share bonus ...

Pacvue

VP, AI Strategy & Delivery

Chicago, IL

Serve as a senior customer-facing voice for Pacvue on AI, machine learning, Pacvue Agent, agentic ... Ensure AI is embedded into core product workflows rather than treated as a standalone feature or ...

next page

Showing results 1-20

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Illinois

Hourly Embedded Machine Learning information

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 the most commonly searched types of Embedded Machine Learning jobs in Illinois? The most popular types of Embedded Machine Learning jobs in Illinois are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Illinois? For Hourly Embedded Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Illinois look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Hourly Embedded Machine Learning jobs? Cities in Illinois with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Data Scientist, Innovation - Baseball Analytics

Data Scientist, Innovation - Baseball Analytics

The Chicago Cubs

Chicago, IL • On-site

$80K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

GO BEYOND THE IVY
Our business is a team sport built on creating and delivering memorable experiences around Cubs baseball and other live events.
Chicago Cubs | Marquee 360 | Marquee Development | Marquee Ventures
Each brand stands as unique as the teams that drive them. We welcome you to learn more about us.
JOB TITLE: Data Scientist, Innovation - Baseball Analytics
DEPARTMENT: R&D Baseball Operations
ORGANIZATION: Chicago Cubs
REPORTS TO: Assistant Director, Baseball Analytics
LOCATION: Chicago, IL
FLSA STATUS: Exempt
COMPENSATION: $80,000 - $150,000 USD
BEING PART OF THE TEAM
Our business is a team sport that began on a field with baseballs and bats and has evolved into one of the most recognizable brands in sports and entertainment through Cubs baseball and live events. Our success is driven by our people, who work to create and inspire change in an engaging, collaborative and inclusive environment. As a team, we continue to build a culture on and off the field that delivers unforgettable experiences for one another, our fans and community. In support of that effort, we expect associates to work primarily in our office. Are you ready to be part of it?
OUR STORY
The Chicago Cubs franchise, a charter member of Major League Baseball's National League since 1876, has won the National League pennant 17 times and was the first team to win back-to-back World Series titles in the 1907 and 1908 seasons. In 2016, the Chicago Cubs made history again when the team won its first World Series in 108 years, ending the longest championship drought in North American sports. Known for its ivy-covered outfield walls, hand-operated scoreboard and famous Marquee, iconic Wrigley Field has been the home of the Chicago Cubs since 1916 and is the second oldest ballpark in Major League Baseball. In 2009, the Ricketts family assumed ownership of the Chicago Cubs and established three main goals for the organization: Win the World Series, Preserve and Improve Wrigley Field, and Be a Good Neighbor.
HOW YOU'LL CONTRIBUTE
The Chicago Cubs are seeking a Data Scientist, Innovation within Baseball Analytics focused on advancing analytics, modeling, and applied research across Baseball Operations. This role will focus on developing cutting-edge machine learning models, exploring novel analytical approaches, and translating complex baseball data into actionable insights.
This position emphasizes innovation in modeling, experimentation, and analytical rigor. The ideal candidate thrives in research-driven environments, pushing the boundaries of predictive modeling, simulation, and multimodal data analysis to improve player evaluation, player development, and performance analysis.
THE DAY-TO-DAY:
Machine Learning & Advanced Modeling
  • Develop and evaluate machine learning and statistical models for player evaluation and performance analysis
  • Design and implement time-series, probabilistic, and simulation-based models
  • Apply modern deep learning techniques (e.g., attention models, multimodal learning)
  • Explore and apply generative modeling approaches beyond LLMs

Analytics Innovation
  • Conduct research into new modeling techniques and analytical frameworks
  • Prototype and experiment with novel approaches to improve predictive performance
  • Translate complex datasets (tracking, video, sensor data) into structured insights

Research & Thought Leadership
  • Stay current with advancements in AI, machine learning, and sports analytics
  • Serve as a subject matter expert on modeling approaches and statistical methods
  • Partner with stakeholders to identify high-impact analytical opportunities

WHAT YOU'LL BRING:
  • Strong experience with machine learning frameworks (PyTorch, TensorFlow, etc.)
  • Deep understanding of statistical modeling and data science workflows
  • Experience working with complex and high-dimensional datasets
  • Proficiency in Python, SQL, and version control

WHAT SETS YOU APART:
  • 5+ years in machine learning, data science, or applied research
  • Experience with multimodal data (video, tracking, sensor data)
  • Background in sports analytics, preferably baseball
  • Experience with simulation or probabilistic modeling frameworks

TOTAL REWARDS:
  • On-site parking
  • Transit benefits
  • Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break
  • Flexible work arrangement
  • Casual work attire environment
  • Complimentary Meal & beverage plan
  • Cubs home game & spring training game ticket allotment
  • Access to campus wide Wrigley Field events & pre-sales
  • 401K Plan Employee Contribution & Employer Match
  • Benefit Plans: Medical, Dental, Vision & Life Insurance
  • Health & Wellness engagement & programming
  • Variety of associate special events, volunteer opportunities and partnership discounts
  • Tuition Reimbursement
  • Free access to EV charging stations

* This job posting includes the anticipated compensation, which reflects the hourly rate or salary range the Chicago Cubs and its affiliates are considering for this role in the specified location(s) as of the posting date. Where anticipated compensation is a salary range, the actual base salary offered within that range will be reflective of the candidate's skills and experience.
The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique.
Response Expectations:
Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you.
The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.

Apply