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Embedded Machine Learning Jobs in Illinois (NOW HIRING)

Motorola

Director of Computer Vision

Virginia, IL · On-site

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 · On-site

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

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 ...

RR Donnelley

AI Sales Strategist

Warrenville, IL · On-site +1

$121K - $157K/yr

... ons, are embedded into core commercial workflows and directly improve costs or revenues. The ... Revenue Optimization: Define strategy to develop and implement AI machine learning models ...

Pwc

US Tech - AI Engineering Manager

Chicago, IL · On-site

$73K - $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 ...

RR Donnelley

AI Sales Strategist

Warrenville, IL · On-site

$121K - $157K/yr

... ons, are embedded into core commercial workflows and directly improve costs or revenues. The ... Revenue Optimization: Define strategy to develop and implement AI machine learning models ...

Pwc

US Tech - AI Engineering Manager

Rosemont, IL · On-site

$73K - $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 ...

RR Donnelley

AI Sales Strategist

Warrenville, IL · On-site

$121K - $157K/yr

... ons, are embedded into core commercial workflows and directly improve costs or revenues. The ... Revenue Optimization: Define strategy to develop and implement AI machine learning models ...

Motorola

Director of Voice AI

Tennessee, IL · On-site

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

Fitch Group

Lead Software Engineer

Chicago, IL · On-site

... embedded throughout its structure, which includes Fitch Ratings, one of the world's top three ... Experience processing Excel files and VBA code as training inputs for machine learning models

Fitch Group

Lead Software Engineer

Chicago, IL · Hybrid

... embedded throughout its structure, which includes Fitch Ratings, one of the world's top three ... Experience processing Excel files and VBA code as training inputs for machine learning models

Fitch Solutions

Lead Software Engineer

Chicago, IL · Hybrid

... embedded throughout its structure, which includes Fitch Ratings, one of the world's top three ... Experience processing Excel files and VBA code as training inputs for machine learning models

Invoca

Director, Revenue Operations

Chicago, IL

About Invoca Invoca is the industry leader and innovator in AI and machine learning-powered ... is built and embedded into the tech stack. You will manage a cross-functional team covering ...

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Showing results 1-20

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Illinois

Embedded Machine Learning information

See Illinois salary details

$67.8K

$148.6K

$168.6K

How much do embedded machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for embedded machine learning in Illinois is $148,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $167,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in the Embedded Machine Learning position, and why are they important?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

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 Embedded Machine Learning jobs in Illinois? For Embedded Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Illinois look for? The top searched job categories for Embedded Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Embedded Machine Learning jobs? Cities in Illinois with the most Embedded Machine Learning job openings:
Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Illinois as of May 2026, with employment types broken down into 1% Locum Tenens, 3% Internship, 59% Full Time, 35% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $148,632 per year, or $71.5 per hour.

Privacy Design & Governance Director, Privacy-by-Design (Remote)

Inspira Financial

Oak Brook, IL • Remote

Full-time

Posted 15 days ago

Inspira Financial rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

Reporting to the Chief Privacy Officer (CPO), the Director of Privacy Design and Governance serves as the privacy lead for product development, ensuring that privacy is embedded into products and data initiatives from concept and design through development, deployment, and decommissioning. In this role, the Director advances a comprehensive privacy program aligned with HIPAA, GLBA, applicable state privacy laws, and emerging federal and industry standards, including privacy frameworks, control mapping, and privacy standards for AI/ML and vendor data handling.

Acting as a strategic partner to Product, Data Science, Legal, Security, Marketing, and Operations, the Director conducts privacy impact assessments and risk assessments, defines data-minimization and retention strategies, identifies safeguards and controls, and provides clear guidance on compliant data use and disclosures, and individual privacy rights. Through strong cross-functional leadership and measurable governance, the Director enables business innovation while ensuring regulatory compliance and fostering trust, transparency, and accountability in all product and data practices.

Duties & Responsibilities:

  • Build and maintain a privacy control framework that maps requirements across HIPAA, GLBA, state privacy laws, FTC expectations, and other applicable federal regulations.
  • Manage comprehensive standards addressing data sharing, de-identification, artificial intelligence and machine learning, and vendor data handling.
  • Manage the organization's privacy-by-design framework, ensuring privacy considerations are embedded early in new product development, marketing initiatives, and business processes.
  • Lead a privacy advisory program that provides timely, practical, and risk-based guidance to business units on compliant data use and sharing.
  • Assist the CPO with stakeholder engagement and change management efforts, ensuring privacy requirements are clearly communicated, understood, and adopted across all departments.
  • Develop and manage the Privacy Impact Assessment (PIA) process to evaluate risks associated with new systems, projects, and technologies involving PHI, PII and NPPI.
  • Partner with Product, Engineering, and Security teams to define privacy control requirements and technical guardrails within design and deployment lifecycles.
  • Support Marketing, IT, Security, Legal and Data Sciences teams in ensuring compliant practices related to data profiling and tracking technologies.
  • Advise business units on individual rights processing (access, correction, deletion, opt-out) and ensure operational readiness for consumer privacy requests.
  • Assist CPO in the maintenance of privacy policies and procedures, workforce training, and deliver targeted privacy training for business units.
  • Monitor evolving HIPAA, GLBA, state, and federal privacy regulations, assessing their impact on organizational operations and policies.
  • Provide guidance and thought leadership on emerging privacy trends, regulatory expectations, and enforcement priorities.
  • Provide guidance and monitor compliance with the records retention policy to ensure proper administration in accordance with applicable laws and best practices.

Supervisory Responsibilities:

  • Recruits, interviews, hires, and trains new staff.
  • Oversees the daily workflow of the department.
  • Provides constructive and timely performance evaluations.

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