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

IMC

Machine Learning Research Lead

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Prior people management experience preferred * Ability and desire to work in a collaborative team ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL · Remote

$107.60K - $147.80K/yr

We're revolutionizing how property managers operate, how residents live, and how intelligence flows ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ... managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS ...

Synergistic it

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ... managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126.20K - $166.40K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Familiarity with SageMaker, Streamlit,web security, credentials and API management tools

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See Chicago, IL salary details

$52.5K

$84.2K

$121.6K

How much do machine learning manager jobs pay per year?

As of May 29, 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:
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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 Research Lead

IMC

Chicago, IL • On-site

$250K - $300K/yr

Full-time

PTO

Posted 17 days ago

Job description

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying state-of-the-art machine learning to solve challenging trading problems. This role will drive the development of a centralized ML environment to be used across all areas of trading at IMC. The ideal candidate will have experience working with other researchers, traders, and engineers to build and continuously improve a research platform to drive innovation via ML. 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 focus on applying a wide range of ML models as well as to perform research on building custom models.
Your Core Responsibilities:
  • Lead the design, development, and deployment of 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
  • Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
  • Mentor junior researchers and contribute to a culture of research excellence and experimentation
  • Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for scalable research

Your Skills and Experience:
  • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 4+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models in low-latency environments
  • 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
  • Prior people management experience preferred
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills

#LI-DNP
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
$250,000-$300,000 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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