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Embedded Machine Learning Engineer Jobs in Country Club Hills, IL

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

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Showing results 21-40

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Country Club Hills, IL

Embedded Machine Learning Engineer information

See Country Club Hills, IL salary details

$69.8K

$152.9K

$173.5K

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

As of Aug 9, 2026, the average yearly pay for embedded machine learning engineer in Country Club Hills, IL is $152,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,100.00 and $172,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

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 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 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 Country Club Hills, IL are hiring for Embedded Machine Learning Engineer jobs? Cities near Country Club Hills, IL with the most Embedded Machine Learning Engineer job openings:
Embedded Machine Learning Engineer jobs near you

Senior AI Machine Learning Engineer

The Hartford Financial Services Group, Inc.

Chicago, IL • On-site, Remote

$107K - $147K/yr

Full-time

Re-posted 3 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 304 rated insurance

Job description

Sr Data Engineer - GE07BE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team.
The Hartford is developing industry-leading AI and machine learning capabilities to improve customer experience (CX) at scale. Within Customer Operations Data Science, we build modern AI products that optimize customer interactions across omnichannel journeys, supporting operational areas such as the Contact Center, Premium Audit, and Billing.
As a Senior Machine Learning Engineer, you will play a critical role in designing, building, and operationalizing production-grade AI solutions-partnering closely with product, engineering, and operations leaders to deliver measurable impact.
Our core values
  • We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.
  • We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.
  • We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.
  • We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.
  • We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.

Responsibilities
  • Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
  • Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
  • Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
  • Accountable for design, development and maintenance of Models as Service
  • Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.
  • Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams
  • Delivery of critical milestones for model deployment in the AWS and GCP clouds.
  • Adopt and promote MLOps best practices to the Data Science community.

Minimum Requirements
  • Must be authorized to work in the U.S. now and in the future.
  • Master's degree in related field or 5+ years of equivalent experience in a research or DevOps function.
  • Development experience using both the AWS and GCP suite of tools.
  • Familiarity with SageMaker, Streamlit, web security, credentials and API management tools
  • Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
  • Experience building and deploying webservices in a cloud environment.
  • Experience building CICD pipeline using Jenkins or equivalent
  • Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or similar
  • Expert-level Github experience, including Github Actions
  • Strong object oriented development experience using Python, Java, C#
  • Familiarity with big data technologies (i.e. Hadoop, Spark, Hive, etc.) and RDBMS platforms such as Redshift, Snowflake or BigQuery
  • Experience in end to end model development lifecycle, from ideation through post production monitoring.
  • Experience with workflow automation platforms (Apache Airflow, Autosys, similar)
  • Experience with Solution Design and Architecture of data pipelines
  • Basic understanding of Data Science model development life cycle

Preferred Skills
  • Fundamentally strong with Data Structures and algorithms.
  • Experience working with Docker, Kubernetes and EC2 environment.
  • Experience building ML and data pipeline and orchestration services
  • Basic understanding of ML frameworks i.e. Tensorflow, Anacoda, Scikit Learn,
  • Experience working in an Agile framework.

Qualifications
  • 4+ years of ML engineering, data manipulation and application development
  • 4+ years Python development experience
  • 4+ years working with IAC, developing CICD pipelines
  • 1+ years of experience in the insurance or broader financial services industry
  • 1+ years SQL development experience
  • Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM's into automated processes

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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