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Pytorch Developer Jobs in Chicago, IL (NOW HIRING)

IMC

Machine Learning Researcher

Chicago, IL

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 ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

VOLT

AI Technical Architect

Chicago, IL · On-site

$68.25 - $82.50/hr

We're seeking a senior AI/ML Engineer with minimum 9-10 yrs experience who can serve as a Technical ... PyTorch, Scikit-learn, OpenCV and/or Keras. * Knowledge of math, probability, and statistics.

The LaSalle Group

Lead AI Engineer

Chicago, IL · On-site

$180K - $200K/yr

Lead AI Engineer Location: Remote (United States), Eastern time zone preferred. Hybrid ... PyTorch. * Experience integrating LLMs with enterprise applications, multi-agent orchestration ...

Humana

AI Technical Product Manager

Chicago, IL

$172K - $198K/yr

Hands-on expertise with AI/ML tools, frameworks, and cloud platforms (Python, PyTorch/TensorFlow, LangChain, vector databases, RAG architectures, prompt engineering, Azure/OpenAI, etc.). * Experience ...

IMC

Machine Learning Research Lead

Chicago, IL

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 ...

Humana

AI Technical Product Manager

Chicago, IL · On-site

$172K - $198K/yr

Hands-on expertise with AI/ML tools, frameworks, and cloud platforms (Python, PyTorch/TensorFlow, LangChain, vector databases, RAG architectures, prompt engineering, Azure/OpenAI, etc.). * Experience ...

Humana

AI Technical Product Manager

Chicago, IL · On-site

$172K - $198K/yr

Hands-on expertise with AI/ML tools, frameworks, and cloud platforms (Python, PyTorch/TensorFlow, LangChain, vector databases, RAG architectures, prompt engineering, Azure/OpenAI, etc.). * Experience ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

... PyTorch/TensorFlow * Proficiency in Python, C++, or similar languages for tooling, testing, and ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in Chicago, IL? For Pytorch Developer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Chicago, IL look for? The top searched job categories for Pytorch Developer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Pytorch Developer jobs? Cities near Chicago, IL with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Chicago, IL as of July 2026, with employment types broken down into 84% Full Time, 6% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Machine Learning Researcher

Machine Learning Researcher

IMC

Chicago, IL

Other

Re-posted 20 days ago

Job description

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC.  The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. 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 alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.

Your Core Responsibilities:

  • Design and deploy 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
  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Your Skills and Experience:

  • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 2+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models
  • 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
  • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills

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