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Machine Learning Infrastructure Engineer Jobs in Chicago, IL

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

1872 Consulting

Machine Learning Engineer

Chicago, IL · On-site

Computer Vision Engineer As a Computer Vision Engineer, you will be part of our AI Team working on ... Hands-on experience applying machine learning and deep learning to vision data, preferably direct ...

Indeed

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

... infrastructure. Responsibilities * Autonomously deliver ML and AI projects, including prompt ... Mentor other Machine Learning Engineers, Data Scientists, and Software Engineers on the team Skills ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ... Understanding of machine learning fundamentals - neural network architectures, inference ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ... Understanding of machine learning fundamentals - neural network architectures, inference ...

Bespoke Labs

Machine Learning Engineer

Hammond, IN · On-site

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Bespoke Labs

Machine Learning Engineer

Chicago, IL · On-site

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Bespoke Labs

Machine Learning Engineer

Gary, IN · On-site

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Bespoke Labs

Machine Learning Engineer

Aurora, IL · On-site

... and building the infrastructure that makes world-scale RL training possible. This is a high ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Familiarity building CICD pipelines using Jenkins or equivalent Exposure with IAC (Infrastructure ...

UST Inc

AWS Machine Learning Engineer

Chicago, IL · On-site

$72K - $108K/yr

Role description AWS Machine Learning Engineer ML Engineer I Who We Are: Born digital, UST ... Familiarity with Terraform or CloudFormation for infrastructure as code. * Exposure to streaming ...

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All JobsMachine Learning Infrastructure Engineer JobsMachine Learning Infrastructure Engineer Jobs in Chicago, IL

Machine Learning Infrastructure Engineer information

See Chicago, IL salary details

$47.9K

$130.9K

$187.5K

How much do machine learning infrastructure engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning infrastructure engineer in Chicago, IL is $130,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $145,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Infrastructure Engineers, and how can these be addressed on the job?

Machine Learning Infrastructure Engineers often face challenges such as ensuring infrastructure scalability, managing resource allocation, and maintaining system reliability while supporting rapid experimentation by data science teams. Balancing the needs for flexibility in research environments with production-grade stability requires a deep understanding of both engineering best practices and the unique requirements of machine learning workflows. Collaboration with data scientists, clear communication about infrastructure capabilities, and staying current with fast-evolving technologies are key strategies for success. Most companies encourage ongoing learning and provide opportunities to contribute to architecture decisions, which makes this a rewarding environment for problem-solvers and innovators.

What are the key skills and qualifications needed to thrive in the Machine Learning Infrastructure Engineer position, and why are they important?

To thrive as a Machine Learning Infrastructure Engineer, you need a strong background in computer science, cloud computing, distributed systems, and experience with machine learning frameworks, often supported by a degree in a related field. Familiarity with tools such as Docker, Kubernetes, Terraform, as well as cloud platforms like AWS, GCP, or Azure, and certifications in cloud or DevOps technologies are highly valued. Strong problem-solving abilities, effective communication, and collaboration skills help engineers work seamlessly with data scientists and cross-functional teams. These skills are essential to design, implement, and maintain robust, scalable infrastructure that enables efficient machine learning development and deployment.

What is a Machine Learning Infrastructure Engineer job?

A Machine Learning Infrastructure Engineer designs, builds, and maintains the systems that support the development and deployment of machine learning models. This includes managing data pipelines, optimizing model training and inference, and ensuring scalability and reliability in production environments. They work closely with data scientists, ML engineers, and DevOps teams to create efficient workflows and infrastructure. Key technologies often include cloud platforms, containerization, orchestration tools, and distributed computing frameworks.

What are popular job titles related to Machine Learning Infrastructure Engineer jobs in Chicago, IL? For Machine Learning Infrastructure Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Infrastructure Engineer jobs in Chicago, IL look for? The top searched job categories for Machine Learning Infrastructure Engineer jobs in Chicago, IL are:
Machine Learning Infrastructure Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Gotion, Inc.

Manteno, IL • On-site

Full-time

Posted 16 days ago

Job description

Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route.
Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization.
About The TeamThe Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.
Role Summary
We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.
You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.
Essential Duties and Responsibilities:
  • Design and implement novel machine learning and deep learning models tailored to internal research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
  • Conduct rigorous experimentation, benchmarking, and ablation studies
  • Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to ensure technical excellence

Required Qualifications:
  • Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all.
We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law.
At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.

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