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Temporary Embedded Machine Learning Jobs in Chicago, IL

Shure

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Shure

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Shure

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Shure

Engineer II, Software

Niles, IL

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Shure

Engineer II, Software

Niles, IL · On-site

$90.60 - $145/hr

From developing advanced machine learning models and data‑driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Shure Incorporated

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of ...

Marmon

Data Scientist

Carol Stream, IL · Hybrid

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Handson usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

Marmon Holdings Inc

Data Scientist

Carol Stream, IL · On-site

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Hands-on usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Hands-on usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

Jobtailor

Software Engineer II

Niles, IL · On-site

$100 - $140/hr

... and machine learning * Experience with any of the following highly desirable: Real time video applications: processing, encoding, transmission, etc; Embedded Linux or AOSP development; GPU ...

New

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 ...

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Showing results 41-60

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

Temporary Embedded Machine Learning information

See Chicago, IL salary details

$72.1K

$158K

$179.2K

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

As of Aug 20, 2026, the average yearly pay for temporary 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 the difference between Temporary Embedded Machine Learning vs Embedded Software Engineer?

AspectTemporary Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant degrees in CS, EE, or data science; certifications in ML or embedded systemsDegrees in CS, EE; certifications in embedded systems or software development
Work EnvironmentProject-based, often in tech or manufacturing industries, with focus on ML integrationDesigning, developing, and testing embedded software in various industries like automotive, IoT
Industry UsageUsed in AI-driven embedded systems, IoT devices, and smart gadgetsUsed in consumer electronics, automotive, industrial automation

Temporary Embedded Machine Learning specialists focus on integrating machine learning models into embedded devices, often on a project basis. Embedded Software Engineers develop and maintain the software that runs directly on hardware. While both roles require embedded systems knowledge, the ML role emphasizes AI integration, whereas the embedded software engineer focuses on software development and system stability.

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 cities near Chicago, IL are hiring for Temporary Embedded Machine Learning jobs?

Cities near Chicago, IL with the most Temporary Embedded Machine Learning job openings:

Temporary Embedded Machine Learning jobs near you

Trading Strategy Software Engineer

BlackEdge Capital

Chicago, IL • On-site, Remote

Full-time

Re-posted 2 days ago

Job description

The Role

BlackEdge Capital is hiring a Trading Strategy Software Engineer to join our technology team and build the systems at the heart of a high frequency, machine learning driven trading effort that operates at the nanosecond level. This is a focused, ambitious initiative at an early stage, which means real ownership and the chance to shape the systems and the codebase from the ground up. Members of our executive team are hands on in this work right now, so you will build alongside the people setting the firm's long-term technical and trading direction.

You will own performance critical software in C++, co-design the hot path with our FPGA hardware engineers, and work shoulder to shoulder with researchers to move machine learning models from idea to live trading. This is a role for someone energized by sitting at the intersection of low-level systems, custom hardware, and applied research, where every nanosecond on the path from signal to order matters.

What You'll Do
  • Design, build, and relentlessly optimize nanosecond level trading systems in C++, owning code from architecture through live production.
  • Partner closely with hardware engineers on FPGA integration, co-designing the software/hardware logic split and communication across that boundary.
  • Work directly with researchers to take machine learning signals from idea to development to production by integrating them into our automated trading system.
  • Keep the codebase clean: we favor a pragmatic, deliberately chosen subset of modern C++ that prioritizes simplicity, clarity, and maintainability.
What We're Looking For
  • Pragmatic C++: Strong command of modern C++ in performance critical systems, with the judgment to keep code simple and clear.
  • Systems depth: Deep understanding of operating system design, cache behavior, memory, and concurrency and how they can be tuned to extract performance.
  • Low latency mindset: A demonstrated ability to design and reason about latency critical software; you think in nanoseconds, not just milliseconds.
  • Collaboration: You enjoy working across boundaries and communicate well with people from diverse backgrounds and skills.
Nice to Have
  • Hands on experience with FPGAs, HLS, or close software/hardware co design.
  • Kernel bypass networking (ef_vi / OpenOnload, DPDK) and low-level network programming.
  • Exposure to machine learning, quantitative research, or production model deployment.
  • Familiarity with futures markets or market microstructure.
About BlackEdge Capital

BlackEdge Capital is a proprietary options market maker built on industry leading technology and a deeply collaborative culture. We compete at the highest technical level in electronic markets, and we win by pairing exceptional engineering with incisive research. Everyone here is a genuine partner in the trading process, embedded in the strategy, close to the technology, and shaping the direction of the firm itself.

How We Work

We are Chicago based and support remote work. We value clarity and simplicity over cleverness for its own sake, tight feedback loops between trading, technology, and operations, and people who take ownership end to end.

Compensation is highly competitive, with significant upside clearly and explicitly tied to firm profit and individual performance. Our model is transparent: bonuses are a share of firm profit, and because your share scales with your performance, a strong year for you and the firm compounds.

Interested? Send us your resume and a short note on where you see yourself contributing at BlackEdge. Humans review every submission.

BlackEdge Capital is an equal opportunity employer. We evaluate candidates on the merit of their work and welcome applicants of every background.

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