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

AppFolio

Staff Machine Learning Engineer - Leasing

Chicago, IL · On-site

$17.50 - $20.50/hr

We're transforming property management: how properties are leased, how residents find their homes ... Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

Chicago, IL An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Chicago, IL

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 Jul 13, 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

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.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $84,172 per year, or $40.5 per hour.
Technical Product Manager - Machine Learning Platform

Technical Product Manager - Machine Learning Platform

Grainger Businesses

Chicago, IL • On-site

$123K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Grainger rating

8.4

Company rating: 8.4 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

16th of 355 rated logistics

Job description

Work Location Type: Hybrid
Req Number 330751
About Grainger
W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working® by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit www.grainger.com.
Compensation
The anticipated base pay compensation range for this position is $123,000.00 - $205,100.00. This role is eligible for an incentive target of up to 15 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.
This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.
Rewards and Benefits
With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:
  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
  • 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
  • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
  • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
  • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger's benefits, please click on the link below:
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
Grainger Benefits
The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.
The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.
Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.
Position Details
The Technical Product Manager, ML Platform helps shape the vision, strategy, and roadmap for internal platform capabilities that enable Grainger's Applied ML, ML Engineering, data science, analytics, and related technical teams to develop, deploy, monitor, and scale machine learning systems. This role works closely with ML Platform and ML Operations leadership to align user needs, platform health, delivery capacity, and business priorities in support of a reliable, self-service ML platform that scales user impact and enables rapid innovation. The TPM partners with Product Engineering, Infrastructure, Security, Data Engineering, Applied ML, ML Engineering, and other technical stakeholders to improve platform usability, reliability, supportability, cost efficiency, and adoption across the machine learning development lifecycle.
This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.
You will
  • Use data, customer feedback, and market signals to prioritize needs and features.
  • Collaboratively drive the vision, strategy, and roadmap for internal technical products.
  • Translate engineering needs into clear requirements and a prioritized backlog.
  • Partner with engineering and infrastructure to deliver reliable, high-quality software.
  • Build strong relationships across teams in a matrixed organization.
  • Use data to size opportunities, prioritize work, and track results.
  • Partner with ML Platform and ML Operations leaders to inform roadmap priorities, clarify trade-offs, and align platform investments to user needs, platform health, and team capacity.
  • Lead structured discovery with Applied ML, ML Engineering, data science, analytics, and engineering users to identify platform needs and workflow friction.
  • Bring user evidence, product analytics, support trends, and operational context into roadmap prioritization for initiatives that improve self-service, ease of use, developer velocity, support experience, observability, reliability, and cost efficiency.
  • Support awareness and adoption of ML platform capabilities through product messaging, documentation planning, demos, workshops, office hours, release communications, and feedback loops in partnership with ML Platform and ML Operations teams.

You have
  • 5+ years experience working with software systems and program/project management
  • 2+ years experience as a Technical Product Manager, Product Manager, Engineer, or Engineering Manager (or equivalent experience in a technical product or platform environment)
  • 2+ years experience working in a cross-functional, matrixed organization
  • 2+ years experience assessing open-source and vendor solutions, including time to market and total cost of ownership (preferred)
  • 2+ years experience working with machine learning platforms, MLOps, data science platforms, developer platforms, infrastructure platforms, or internal technical products
  • 2+ years experience translating complex technical workflows into product requirements, roadmaps, backlogs, and measurable success criteria
  • 2+ years experience using product analytics, user research, support trends, stakeholder feedback, or operational metrics to prioritize internal platform improvements
  • Ability to define a technical product vision and translate it into a roadmap for both technical and non-technical audiences.
  • Product judgment, including the ability to balance user value, technical feasibility, and business impact.
  • Knowledge of engineering workflows, deployment practices, and system design fundamentals.
  • Strong analytical and quantitative skills to support prioritization and sound decision-making.
  • Written and verbal communication skills, with the ability to influence without authority.
  • Ability to navigate ambiguity and deliver results under tight timelines.
  • Continuous improvement mindset and awareness of emerging technologies and industry trends.
  • Understanding of the machine learning development lifecycle, including experimentation, deployment, serving, monitoring, support, and ongoing improvement of ML systems.
  • Familiarity with modern MLOps and cloud-native platform concepts such as containers, Kubernetes, GitOps, CI/CD, workflow orchestration, observability, and self-service developer workflows.
  • Ability to synthesize feedback from Applied ML, ML Engineering, data science, analytics, support channels, and platform usage data into actionable roadmap recommendations and prioritization inputs.
  • Ability to evaluate platform opportunities across user impact, ease of use, technical feasibility, reliability, operational support, and cost efficiency.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

What Grainger employees say

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About Grainger

Sourced by ZipRecruiter

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money. We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Industry

Office administration and facilities support services

Company size

10,000+ Employees

Headquarters location

Lake Forest, IL, US

Year founded

1927

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