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Trainee Audio Signal Processing Machine Learning Jobs in Chicago, IL

Senior Machine Learning Engineer ABOUT THE ROLE This is a hands-on, high-ownership role for ML ... You'll fine-tune large language models and audio models, evaluate them with rigorous benchmarks ...

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

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.

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.

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

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... hiring process. Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to ...

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 Research Lead Chicago, United States; New York, United States IMC Trading is ... 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 ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

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 ...

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Trainee Audio Signal Processing Machine Learning information

See Chicago, IL salary details

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

As of Jun 16, 2026, the average hourly pay for trainee audio signal processing machine learning in Chicago, IL is $20.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $25.77 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:
Infographic showing various Trainee Audio Signal Processing Machine Learning job openings in Chicago, IL as of June 2026, with employment types broken down into 67% Full Time, 22% Part Time, 3% Contract, and 8% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $42,621 per year, or $20.5 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

kadence

Mundelein, IL

$225K - $325K/yr

Other

Medical, Dental, Vision

Posted 6 days ago


Job description

Senior Machine Learning Engineer


ABOUT THE ROLE

This is a hands-on, high-ownership role for ML engineers who want to build production models that actually ship, and perform under real-world constraints. As a Founding Senior Machine Learning Engineer, you’ll work across the ML stack to power human-like voice agents that handle millions of real-time phone conversations.


You’ll fine-tune large language models and audio models, evaluate them with rigorous benchmarks (and human feedback), and deploy them into latency-sensitive, high-traffic systems. You’ll own model performance end-to-end—from training pipelines to post-deployment monitoring—and shape our ML strategy alongside the founding team.


If you’re excited by hard technical challenges, fast iteration, and the opportunity to define how voice AI works at scale, this role is a rare chance to do it from the ground up.


KEY RESPONSIBILITIES

  • Train & Tune Models – Fine-tune LLMs and audio models to maximize speed, accuracy, and production-readiness—pushing the frontier of real-time AI voice experiences.
  • Benchmark & Evaluate – Build datasets, define rigorous metrics, and measure model performance across high-impact voice AI tasks to guide development.
  • Deploy to Production – Work closely with engineering to ship models, monitor them in the wild, and ensure they stay fast, reliable, and accurate at scale.
  • Run Human Evaluations – Build scalable pipelines to collect structured human feedback, benchmark subjective quality, and inform model iterations.
  • Level Up Infrastructure – Design and maintain the ML infrastructure needed for fast experimentation, robust training, and continuous deployment.


YOU MIGHT THRIVE IF YOU

  • ML Engineer with Real-World Experience – You’ve trained and shipped models in production. Bonus if you’ve worked with LLMs or audio models.
  • Fluent in Modern ML Stack – You know your way around Python, PyTorch, and today’s ML tools—from training pipelines to evaluation benchmarks.
  • Execution-Oriented – You move fast, take ownership, and focus on solving real problems over perfect ones.
  • Startup-Ready – You’re adaptable, resilient, and energized by ambiguity and fast-changing priorities.
  • Clear Communicator & Team Player – You collaborate well across functions and push decisions forward.


JOB DETAILS

  • Cash: $225,000 - $325,000 base salary
  • Equity: Offers Equity
  • Location: Redwood City, CA, US
  • US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.


OTHER BENEFITS

  • 100% coverage for medical, dental, and vision insurance
  • $70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks
  • $200/month wellness reimbursement (gym, fitness classes, etc.)
  • $300/month commuter reimbursement (gas, Caltrain, etc.)
  • $75/month phone bill reimbursement
  • $50/month internet reimbursement


COMPENSATION PHILOSOPHY

  • Best Offer Upfront: Choose from three cash-equity balance options, no negotiation needed.
  • Top 1% Talent: Above-market pay (top 5 percentile) to attract high performers.
  • High Ownership: Small teams, >$1M revenue/employee, and significant equity.
  • Performance-Based: Offers tied to interview performance, not experience or past salaries.