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Assistant Machine Learning Quant Jobs in Chicago, IL

IMC Inc

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... Architect and co-design ML models with traders, quant researchers, and software engineers, treating ...

Novolex

Assistant Machine Operator

Saint Charles, IL · On-site

$21.57 - $26.97/hr

Assistant Cup Machine Operator St. Charles, IL Compensation Includes * Pay Range $21.57/hr - $26.97 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Assistant Machine Operator

Saint Charles, IL · On-site

$21.57 - $26.97/hr

Assistant Cup Machine Operator St. Charles, IL Compensation Includes * Pay Range $21.57/hr - $26.97 ... Learning Management System that supports and enhances employee skills at all levels of the ...

IMC Trading

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $168K/yr

Responsibilities : • Architect and co-design ML models with traders, quant researchers, and ... search, machine learning systems and quantization methods, and determine what translates to ...

Novolex

Assistant Machine Operator

Saint Charles, IL

$21.57 - $26.97/hr

Assistant Cup Machine Operator St. Charles, IL Compensation Includes * Pay Range $21.57/hr - $26.97 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Assistant Machine Operator

Saint Charles, IL · On-site

$21.57 - $26.97/hr

Assistant Cup Machine Operator St. Charles, IL Compensation Includes * Pay Range $21.57/hr - $26.97 ... Learning Management System that supports and enhances employee skills at all levels of the ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Architect and co-design ML models with traders, quant researchers, and software engineers, treating ... Understanding of machine learning fundamentals - neural network architectures, inference ...

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 ... Architect and co-design ML models with traders, quant researchers, and software engineers, treating ...

PayPal, Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

PayPal

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

3Red Partners

Quant

Chicago, IL · On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and ... Experience with Python, C++, and machine learning tools * Ability to understanding the optimization ...

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Assistant Machine Learning Quant information

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How much do assistant machine learning quant jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for assistant machine learning quant in Chicago, IL is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $19.81 per hour, depending on experience, location, and employer.

What are Assistant Machine Learning Quants?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an Assistant Machine Learning Quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

What are the key skills and qualifications needed to thrive as an Assistant Machine Learning Quant, and why are they important?

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.
What are the most commonly searched types of Machine Learning Quant jobs in Chicago, IL? The most popular types of Machine Learning Quant jobs in Chicago, IL are:
What are popular job titles related to Assistant Machine Learning Quant jobs in Chicago, IL? For Assistant Machine Learning Quant jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Assistant Machine Learning Quant jobs in Chicago, IL look for? The top searched job categories for Assistant Machine Learning Quant jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Assistant Machine Learning Quant jobs? Cities near Chicago, IL with the most Assistant Machine Learning Quant job openings:
Assistant Machine Learning Quant jobs near you

Hardware Machine Learning Engineer

IMC Inc

Chicago, IL

$200K - $225K/yr

Other

PTO

Posted 24 days ago

Job description

Hardware Machine Learning Engineer

Chicago, United States; New York, United States

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

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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