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Machine Learning Manager Jobs in Chicago, IL (NOW HIRING)

IMC Inc

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Develop large-scale distributed training pipelines to manage datasets and complex models * Build ...

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Develop large-scale distributed training pipelines to manage datasets and complex models * Build ...

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

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

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... Strong data pipeline and data management skills * Strong software engineering skills; knowledge of ...

PayPal

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 · 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, 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.

Vizient

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156.50K - $290.10K/yr

Partner with risk management and compliance teams to ensure adherence to regulatory and ethical ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

Vizient, Inc.

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156.50K - $290.10K/yr

Partner with risk management and compliance teams to ensure adherence to regulatory and ethical ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.

Vizient

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156.50K - $290.10K/yr

Partner with risk management and compliance teams to ensure adherence to regulatory and ethical ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

1872 Consulting

Machine Learning Engineer

Chicago, IL · On-site

Hands-on experience applying machine learning and deep learning to vision data, preferably direct ... management * Knowledge of H264 & MPEG4 video standards, and experience with hardware compression ...

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Machine Learning Manager information

See Chicago, IL salary details

$52.5K

$84.2K

$121.6K

How much do machine learning manager jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning manager in Chicago, IL is $84,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $95,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Chicago, IL? The most popular types of Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Machine Learning Manager jobs in Chicago, IL? For Machine Learning Manager jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Chicago, IL look for? The top searched job categories for Machine Learning Manager jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Learning Manager jobs? Cities near Chicago, IL with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Chicago, IL as of May 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 58% Physical, 5% Hybrid, and 37% Remote job distribution, with an average salary of $84,172 per year, or $40.5 per hour.

Machine Learning Engineer

IMC Inc

Chicago, IL • On-site

$175K - $250K/yr

Other

PTO

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer

Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities.

Your Core Responsibilities:

  • Develop large-scale distributed training pipelines to manage datasets and complex models
  • Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
  • Develop libraries to improve the performance of machine learning frameworks
  • Maximize performance in training and inference using GPU hardware and acceleration libraries
  • Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
  • Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
  • Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
  • Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
  • Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Your Skills and Experience:

  • 5+ years of experience in machine learning with a focus on training or inference systems
  • Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
  • Strong engineering skills, including Python, CUDA, or C++
  • Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
  • Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
  • Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
  • Exposure to cloud platforms and orchestration tools
  • A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

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

$175,000 - $250,000 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.

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