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Junior Ai Machine Learning Python Jobs in Chicago Ridge, IL

IMC Inc

Machine Learning Engineer

Chicago, IL

$175K - $250K/yr

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 ...

PayPal

Machine Learning Engineer

Chicago, IL

This job will validate and develop machine learning models and algorithms to solve complex problems ... Perform model and AI risk governance related activities in line with enterprise risk framework, to ...

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

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 ...

IMC

Machine Learning Engineer

Chicago, IL

$175K - $250K/yr

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 ...

IMC Inc

Machine Learning Research Lead

Chicago, IL

$250K - $300K/yr

Mentor junior researchers and contribute to a culture of research excellence and experimentation ... Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and ...

RR Donnelley

AI Sales Strategist

Warrenville, IL · On-site +1

$121K - $157K/yr

Revenue Optimization: Define strategy to develop and implement AI machine learning models ... An understanding of programing languages such as Python (with libraries like Pandas, NumPy, scikit ...

RR Donnelley

AI Sales Strategist

Warrenville, IL

$121K - $157K/yr

Revenue Optimization: Define strategy to develop and implement AI machine learning models ... An understanding of programing languages such as Python (with libraries like Pandas, NumPy, scikit ...

RR Donnelley

AI Sales Strategist

Warrenville, IL · On-site

$121K - $157K/yr

Revenue Optimization: Define strategy to develop and implement AI machine learning models ... An understanding of programing languages such as Python (with libraries like Pandas, NumPy, scikit ...

PayPal

Sr Machine Learning Engineer

Chicago, IL

$57.50 - $76/hr

The position also supports AI and model risk governance to ensure compliance with PayPal ... tools such as Python (Scikit-learn, TensorFlow), SQL, Hadoop, and Spark. * Relevant modeling ...

Coin Flow

Machine Learning Engineer

Chicago, IL

$160K - $220K/yr

... stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

Harnham

Senior Machine Learning Engineer

Chicago, IL · Remote

$107K - $147K/yr

Proficiency in Python, SQL, and key machine learning libraries. * Experience working with distributed data processing tools such as Spark. * Strong communication skills, with the ability to explain ...

New

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

... stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

PayPal, Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

The position also supports AI and model risk governance to ensure compliance with PayPal ... tools such as Python (Scikit-learn, TensorFlow), SQL, Hadoop, and Spark. * Relevant modeling ...

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All JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Chicago Ridge, IL

Junior Ai Machine Learning Python information

See Chicago Ridge, IL salary details

$47.4K

$96.4K

$144.8K

How much do junior ai machine learning python jobs pay per year?

As of Jun 22, 2026, the average yearly pay for junior ai machine learning python in Chicago Ridge, IL is $96,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $97,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What cities near Chicago Ridge, IL are hiring for Junior Ai Machine Learning Python jobs? Cities near Chicago Ridge, IL with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Chicago Ridge, IL as of June 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Contract, and 3% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $96,438 per year, or $46.4 per hour.

Machine Learning Engineer

IMC Inc

Chicago, IL

$175K - $250K/yr

Other

PTO

Posted 4 days ago

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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