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Apprentice Audio Signal Processing Machine Learning Jobs in Chicago, IL

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127.20K - $167.90K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... real-time signal processing, or similar domains * Familiarity with functional verification ...

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Explore transaction and behavioral data to uncover patterns, signals, and new insights * Partner ... Strong foundation in machine learning, statistics, and analytical problem solving * Experience ...

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 ... real-time signal processing, or similar domains * Familiarity with functional verification ...

IMC

Machine Learning Researcher

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 ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Practical experience managing data processing workflows using Apache Spark and Airflow

Aquabyte

Machine Learning Engineer

Mundelein, IL

... data processing, and a user-facing web application. As a result, there are hundreds of moving ... The role As a Machine Learning Engineer you will be responsible for developing Machine Learning ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

PayPal

Machine Learning Engineer

Chicago, IL

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

IMC

Machine Learning Research Lead

Chicago, IL

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

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Apprentice Audio Signal Processing Machine Learning information

See Chicago, IL salary details

$14

$20

$30

How much do apprentice audio signal processing machine learning jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for apprentice audio signal processing machine learning in Chicago, IL is $20.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $22.55 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs in Chicago, IL? The most popular types of Audio Signal Processing Machine Learning jobs in Chicago, IL are:
Apprentice Audio Signal Processing Machine Learning jobs near you
Infographic showing various Apprentice Audio Signal Processing Machine Learning job openings in Chicago, IL as of May 2026, with employment types broken down into 78% Full Time, 11% Part Time, 7% Temporary, and 4% Contract. Highlights an 54% Physical, 1% Hybrid, and 45% Remote job distribution, with an average salary of $43,216 per year, or $20.8 per hour.
Data Scientist - Machine Learning

Data Scientist - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 12 days ago

United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 330 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines

Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities:
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions
  • Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming languages
  • Identifies, researches, or solves large complex problems using big data and machine learning principles
  • Leverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributions
  • Builds and develops machine learning model applications, and provides client support leveraging machine learning knowledge
  • Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
  • Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
  • Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
  • Anticipates working team questions to data and approach
  • Identifies solution quality risks and on-time risks
  • Understands the business value, process, and expectations before focusing on choice of a technical solution
  • Understands the intuition behind the numbers (i.e. does it make sense?)
  • Provides on-going analytical services to client organizations
  • Communicates results to management and clients
  • Contributes deck content and builds the story for the deck with guidance to summarize findings
  • Develops and delivers presentations aligned with Analytics & Innovation team standards
  • Speaks in a manner appropriate for working team and their level +1
  • Keeps informed about the latest analytical methods and research in machine learning, data science, and other analytics fields
  • Research and socialize tools and techniques in data science, ensuring best practices are applied at United

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Master's degree in quantitative field (machine learning, data science, statistics, engineering, etc.)
  • Coursework or work experience with mathematical programming techniques
  • Coursework or work experience implementing supervised machine learning to real-world tabular data use cases
  • Hands-on experience with ML and statistical modeling in applied projects
  • Strong Python software engineering skills with a focus on object-oriented programming and GitHub usage
  • Proficiency in SQL for analytical tasks and data manipulation
  • Ability to identify high-value opportunities and efficiently apply data science techniques to drive business impact
  • Strong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervision
  • Demonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguity
  • Excellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiences
  • Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
  • Good interpersonal skills and ability to interact with clients
  • Proficient with MS Office
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualifications
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Supervised computer vision (object detection) & NLP
  • Signal processing & machine learning applied to sensor data
  • Causal ML (DML, DR, etc.)
  • Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modeling
  • AWS cloud stack experience
  • PySpark
  • Docker
  • Generative AI
  • Demonstrated ability to create business value

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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