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Temporary Machine Learning Testing Jobs in Illinois

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

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

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

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 ...

Autodesk

Senior Machine Learning Test Engineer

Ohio, IL · On-site +1

$104K - $135K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... API Testing * Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)

BlockForce Talent

Temp Flush Department

Joliet, 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 ...

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 ...

New

Uottawa

APTPUO Fall 2026- MIA5100- (ONLINE)

Campus, IL · On-site

$239.47/hr

MACHINE LEARNING Course Code: MIA5100 Section: A Course Description: Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06/05 ...

Uottawa

APTPUO Winter 2027- MIA5100- (ONLINE)

Campus, IL · On-site

$239.47/hr

MACHINE LEARNING Course Code: MIA5100 Section: A Course Description: Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06/05 ...

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All JobsMachine Learning Testing JobsTemporary Machine Learning Testing JobsTemporary Machine Learning Testing Jobs in Illinois

Temporary Machine Learning Testing information

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle some tasks, MLEs are essential for creating and fine-tuning complex models. AI is a tool that complements their work rather than replacing the role entirely, and skills in programming, data analysis, and model deployment remain important for MLEs.

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.

Can I learn ML in 3 months?

Learning machine learning in three months is possible for some individuals, especially with prior programming experience and dedicated study. Focused coursework, practical projects, and familiarity with tools like Python and libraries such as scikit-learn can accelerate learning, but mastering complex concepts may require longer. For a role like temporary machine learning testing, foundational knowledge and hands-on experience are key, and ongoing learning is often necessary.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leading projects, developing innovative algorithms, and may require extensive experience and specialized certifications. Compensation at this level reflects the complexity and impact of the work in the AI industry.

Which 3 jobs will survive AI?

For a Temporary Machine Learning Testing role, jobs that require complex human judgment, creativity, and emotional intelligence are more likely to survive AI automation. These include roles such as AI ethics specialists, creative designers, and strategic consultants. Skills in critical thinking, problem-solving, and domain expertise will remain valuable as AI tools continue to evolve.
What are the most commonly searched types of Machine Learning Testing jobs in Illinois? The most popular types of Machine Learning Testing jobs in Illinois are:
What are popular job titles related to Temporary Machine Learning Testing jobs in Illinois? For Temporary Machine Learning Testing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Testing jobs in Illinois look for? The top searched job categories for Temporary Machine Learning Testing jobs in Illinois are:
What cities in Illinois are hiring for Temporary Machine Learning Testing jobs? Cities in Illinois with the most Temporary Machine Learning Testing job openings:
Temporary Machine Learning Testing jobs near you
Infographic showing various Temporary Machine Learning Testing job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Hardware Machine Learning Engineer

Hardware Machine Learning Engineer

IMC

Chicago, IL

$127K - $167K/yr

Other

Re-posted 25 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