1

Signal Processing Machine Learning Jobs in Chicago, IL

Design and deploy machine learning models to enhance trading performance across various asset ... signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers ...

New

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

Design and deploy machine learning models to enhance trading performance across various asset ... signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers ...

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns ... in machine learning, applied data science, or production ML roles * Demonstrated experience ...

Machine Learning Lead

Chicago, IL · On-site

$225 - $275/hr

Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns ... in machine learning, applied data science, or production ML roles * Demonstrated experience ...

New

Machine Learning Lead

Chicago, IL · On-site

$175 - $235/hr

Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns ... in machine learning, applied data science, or production ML roles * Demonstrated experience ...

New

Design and deploy machine learning models to enhance trading performance across various asset ... signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers ...

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... signal generation, and portfolio optimization * Collaborate with quantitative traders, researchers ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

While traditional HR and payroll providers automate basic HR processes such as payroll and benefits ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

While traditional HR and payroll providers automate basic HR processes such as payroll and benefits ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

While traditional HR and payroll providers automate basic HR processes such as payroll and benefits ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

... processes and agile/scrum rituals Helping to clarify and prioritize work, define success criteria, and own work item completion Applying all relevant change management controls for risk and ...

... processes and agile/scrum rituals Helping to clarify and prioritize work, define success criteria, and own work item completion Applying all relevant change management controls for risk and ...

... processes and agile/scrum rituals Helping to clarify and prioritize work, define success criteria, and own work item completion Applying all relevant change management controls for risk and ...

... processes and agile/scrum rituals Helping to clarify and prioritize work, define success criteria, and own work item completion Applying all relevant change management controls for risk and ...

... processes and agile/scrum rituals Helping to clarify and prioritize work, define success criteria, and own work item completion Applying all relevant change management controls for risk and ...

Relevant backgrounds could also include: • Systematic trading and market microstructure • Applied mathematics or statistics • Signal processingMachine learning and sequential modelling • ...

... processes and agile/scrum rituals Helping to clarify and prioritize work, define success criteria, and own work item completion Applying all relevant change management controls for risk and ...

Support the debugging process and issue triage to maintain solution integrity throughout the development cycle. * Participate in ethical reviews and risk/security evaluations to uphold Crowe ...

Showing results 21-40

Signal Processing Machine Learning information

See Chicago, IL salary details

$55.1K

$135.3K

$199.3K

How much do signal processing machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for signal processing machine learning in Chicago, IL is $135,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $151,900.00 per year, depending on experience, location, and employer.

What is a signal processing machine learning?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

What does a signal processing machine learning do?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.

What are the key skills and qualifications needed to thrive in signal processing machine learning?

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What job categories do people searching Signal Processing Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Signal Processing Machine Learning jobs in Chicago, IL are:

Infographic showing various Signal Processing Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $135,308 per year, or $65.1 per hour.

Machine Learning Researcher

IMC B.V.

Chicago, IL • On-site

$200 - $275/hr

Other

PTO

Posted 3 days ago

New


Job description

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism. This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.

Your Core Responsibilities:
  • Design and deploy machine learning models to enhance trading performance across various asset classes
  • Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
  • Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
Your Skills and Experience:
  • PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 2+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models
  • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
  • Strong understanding of theoretical foundations of state-of-the-art ML models
  • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills

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 — $275,000 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.

#J-18808-Ljbffr