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Temporary Machine Learning Testing Jobs in Chicago, IL

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

  • PTO

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

  • PTO

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL

$126K - $166K/yr

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing ...

3MD Inc.

Automation Applications Engineer

Elk Grove Village, IL · On-site

$130K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform thorough testing of automation systems, focusing on machine vision accuracy, machine learning model performance, and overall system efficiency. * Implement quality assurance measures to ...

BlockForce Talent

Temp Flush Department

Rockdale, IL

$18/hr

Temp Machine Operator (Ink Preparation Department) Location: Rockdale, IL (Apollo Colors) Shift ... Monitor product quality by visual inspection of the product and taking required samples and testing ...

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Experience with advanced data analysis and machine learning and statistical techniques, including classification, regression, clustering, collaborative filtering, and hypothesis testing * Experience ...

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Temporary Machine Learning Testing information

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How much do temporary machine learning testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for temporary machine learning testing in Chicago, IL is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $26.25 per hour, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Testing vs Data Scientist?

AspectTemporary Machine Learning TestingData Scientist
CredentialsTypically requires knowledge of machine learning tools, programming, and basic statisticsRequires advanced degrees (e.g., Master’s or PhD) in data science, statistics, or related fields
Work EnvironmentProject-based, often temporary roles focused on testing models and algorithmsLong-term, strategic roles involving data analysis, model development, and business insights
Industry UsageCommon in tech, finance, and research sectors for specific testing tasksWidely used across industries for data-driven decision making

Temporary Machine Learning Testing roles focus on evaluating and validating machine learning models in short-term projects, while Data Scientists develop, implement, and interpret complex data models for ongoing business strategies. Both roles require technical skills, but Data Scientists typically have higher educational credentials and broader responsibilities.

What are the most commonly searched types of Machine Learning Testing jobs in Chicago, IL?

The most popular types of Machine Learning Testing jobs in Chicago, IL are:

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For Temporary Machine Learning Testing jobs in Chicago, IL, the most frequently searched job titles are:

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Temporary Machine Learning Testing jobs near you
Infographic showing various Temporary Machine Learning Testing job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,899 per year, or $23.5 per hour.

Hardware Machine Learning Engineer

IMC

Chicago, IL • On-site

$200K - $225K/yr

Other

PTO

Re-posted 6 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

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$200,000-$225,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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