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Statistical Signal Processing Jobs in Chicago, IL

Relevant backgrounds could also include: • Systematic trading and market microstructure • Applied mathematics or statisticsSignal processing • Machine learning and sequential modelling • ...

Quantitative Researcher

Chicago, IL · On-site

$250K - $300K/yr

A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2026 and August 2027 (Bachelor's, Master ...

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Statistical Signal Processing information

See Chicago, IL salary details

$87K

$151.7K

$256.5K

How much do statistical signal processing jobs pay per year?

As of Aug 28, 2026, the average yearly pay for statistical signal processing in Chicago, IL is $151,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $164,800.00 per year, depending on experience, location, and employer.

What is a statistical signal processing?

A Statistical Signal Processing job involves analyzing signals using probabilistic and statistical methods to extract useful information, reduce noise, and make predictions. Professionals in this field work with algorithms for applications in communications, radar, audio processing, finance, and biomedical engineering. They use tools like Bayesian estimation, Kalman filtering, and spectral analysis to enhance signal interpretation and decision-making. The role often requires expertise in mathematics, programming, and data analysis to develop efficient signal processing techniques.

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

To thrive in Statistical Signal Processing, you need strong quantitative and analytical abilities, a background in mathematics or electrical engineering, and experience with probability, statistics, and signal processing concepts. Proficiency with programming languages such as MATLAB or Python, as well as familiarity with simulation tools and relevant certifications like Certified Signal Processing Professional (CSPP), is highly valuable. Problem-solving abilities, effective communication, and teamwork skills help you excel in cross-functional project environments. These competencies are crucial for accurately analyzing data, developing robust models, and delivering effective solutions to complex signal processing challenges.

What are some common challenges faced by professionals working in statistical signal processing roles?

One common challenge is managing noisy or incomplete data, which requires advanced statistical techniques to extract meaningful information from real-world signals. Professionals in this field often need to stay updated with rapidly evolving algorithms and technologies, which can demand ongoing learning and adaptation. Additionally, collaborating across interdisciplinary teams—including software developers, engineers, and scientists—requires clear communication of complex concepts. By developing strong analytical and teamwork skills, you can effectively address these challenges and contribute valuable insights to your organization.

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

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

Infographic showing various Statistical Signal Processing job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $151,732 per year, or $72.9 per hour.

Research Engineer

Acceler8 Talent

Mundelein, IL • On-site

$300K/yr

Other

Posted 13 days ago


Job description

Founding Research Engineer - AI & Defence


📍 San Francisco | Onsite


I’m working with a highly ambitious defense AI startup building technology to detect and conduct a novel class of AI-powered cyber operation. This is not conventional cybersecurity, vulnerability research or zero-day hunting.


The technical challenge sits much closer to elite quantitative research, market microstructure and applied machine learning.


You’ll work with petabyte-scale, multimodal time-series data refreshing in under one second, helping build the full prediction and learning stack:


→ Stream and capture continuously refreshing data at scale

→ Convert noisy, often ungrounded signals into useful representations

→ Model the future behaviour of actors within complex environments

→ Combine classical statistical methods with deep learning and transformers

→ Build agents that learn new strategies from sparse, long-horizon reward signals

→ Shape the technical direction of the company as an early engineering hire


The strongest candidates will be highly quantitative, empirically minded and comfortable working on ambiguous research problems. You may currently be a Quantitative Researcher or Quantitative Developer within a top systematic trading environment.


Relevant backgrounds could also include:


• Systematic trading and market microstructure

• Applied mathematics or statistics

• Signal processing

• Machine learning and sequential modelling

• Computational social science

• Intelligence or national-security technology


Prior cybersecurity experience is not required.


The company is already revenue-generating, has more than 18 months of runway and is backed by leading seed investors. The founding team has built and exited multiple companies, collectively returning more than $1B to investors.


Its advisory network includes senior military leaders and former White House advisors.

This is an opportunity to join a small, high-agency team working on problems with direct defense and intelligence relevance, where the earliest hires will influence both the core technology and how it is deployed.


Base salaries up to $300k + Significant equity for founding Engineers


No export controls, but you will need to either be a Green Card holder or US citizen to apply.


Apply to Ethan to find out more

elewis@acceler8talent.com