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Machine Learning Architect Jobs in Illinois (NOW HIRING)

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... This is an initiative where you'll have the rare opportunity to architect solutions from scratch ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

This is an initiative where you'll have the rare opportunity to architect solutions from scratch ... Understanding of machine learning fundamentals - neural network architectures, inference ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

Architect High-Scale Systems: Design and own state-of-the-art ML systems handling dynamic ... Mentor and guide Machine Learning Engineers and Data Scientists across teams to instill a culture ...

New

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

Architect High-Scale Systems: Design and own state-of-the-art ML systems handling dynamic ... Mentor and guide Machine Learning Engineers and Data Scientists across teams to instill a culture ...

New

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

Architect High-Scale Systems: Design and own state-of-the-art ML systems handling dynamic ... Mentor and guide Machine Learning Engineers and Data Scientists across teams to instill a culture ...

New

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Your primary focus will be to leverage your expertise in software development, machine learning algorithms, and data infrastructure to architect, develop, and optimize machine learning solutions. You ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

This is an initiative where you'll have the rare opportunity to architect solutions from scratch ... Understanding of machine learning fundamentals - neural network architectures, inference ...

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 ... Experience developing repeatable architectural patterns; ability to identify redundancies and ...

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 ... Experience developing repeatable architectural patterns; ability to identify redundancies and ...

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 ... Experience developing repeatable architectural patterns; ability to identify redundancies and ...

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Showing results 21-40

All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Illinois

Machine Learning Architect information

See Illinois salary details

$45.1K

$124.8K

$195.3K

How much do machine learning architect jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning architect in Illinois is $124,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $160,900.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are the most commonly searched types of Machine Learning Architect jobs in Illinois?

The most popular types of Machine Learning Architect jobs in Illinois are:

What are popular job titles related to Machine Learning Architect jobs in Illinois?

For Machine Learning Architect jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Machine Learning Architect jobs in Illinois look for?

The top searched job categories for Machine Learning Architect jobs in Illinois are:

Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,768 per year, or $60 per hour.

Hardware Machine Learning Engineer

IMC

Chicago, IL • On-site

$127K - $167K/yr

Full-time

Re-posted 22 days ago

Job description

We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite.

Your Core Responsibilities

  • Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
  • Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
  • Work hands-on with hardware 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 systems and quantization methods, and determine what translates to measurable improvements in our systems

Your Skills and Experience

  • Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
  • Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
  • Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
  • Proficiency in Python, C++, or similar languages for tooling, testing, and simulation
  • Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

Nice to Have

  • Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
  • Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
  • Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
  • Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

Apply