ZipRecruiter

Log In

1

Embedded Machine Learning Jobs in Chicago, IL (NOW HIRING)

Catalyst Labs, LLC

ML Engineer

Chicago, IL · On-site

About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients ...

RR Donnelley

Revenue AI Strategist

Warrenville, IL · On-site +1

$121.80K - $157.40K/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 Evaluation Engineer - Manager

Chicago, IL · On-site

$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 ...

RR Donnelley

Revenue AI Strategist

Warrenville, IL · On-site

$121.80K - $157.40K/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 ...

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

Invoca

Director, Revenue Operations

Chicago, IL · On-site

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 ...

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

next page

Showing results 1-20

People also search for

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Chicago, IL

Embedded Machine Learning information

See Chicago, IL salary details

$72.1K

$158K

$179.2K

How much do embedded machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for embedded machine learning in Chicago, IL is $158,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $178,200.00 per year, depending on experience, location, and employer.

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 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.
More about Embedded Machine Learning jobs
What are the most commonly searched types of Embedded Machine Learning jobs in Chicago, IL? The most popular types of Embedded Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Embedded Machine Learning jobs in Chicago, IL? For Embedded Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Chicago, IL look for? The top searched job categories for Embedded Machine Learning jobs in Chicago, IL are:
Embedded Machine Learning jobs near you

ML Engineer

Catalyst Labs, LLC

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

ML Engineer

Chicago, Illinois, United States

About the Job

Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.

By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.

About Us

Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients' recruitment operations.

We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.

Location

New York, NY

Work Type

Full Time

Compensation

Above market base + bonus + equity

Roles & Responsibilities
  • Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
  • Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
  • Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
  • Build agents capable of operating natively on real-world audio inputs.
  • Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
  • Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
  • Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
  • Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 1-6 years of professional experience in ML engineering.
  • Strong programming skills in Python (TypeScript experience is a plus).
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Familiarity with cloud environments and infrastructure (preferably AWS).
  • Strong understanding of data pipeline design, real-time inference, and model monitoring.
  • Excellent communication skills with the ability to engage directly with customers and stakeholders.
Core Experience
  • Proven experience building and deploying ML models into production environments.
  • Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
  • Experience with audio-focused ML projects or similar domains involving unstructured data.
  • Proficiency in building scalable data pipelines for model training and evaluation.
  • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
  • Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.

Apply