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Pytorch Developer Jobs in Chicago, IL (NOW HIRING)

IMC Trading

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $168K/yr

They are seeking a Hardware Machine Learning Engineer to architect solutions that deploy machine ... such as PyTorch/TensorFlow • Proficiency in Python, C++, or similar languages for tooling ...

CoSourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site +1

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Experience with TensorFlow, PyTorch, or Scikit-learn. * Familiarity with Kubeflow Pipelines or ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Strong Python plus PyTorch or JAX * Experience with large‑scale data pipelines and experiment ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Strong Python plus PyTorch or JAX * Experience with large-scale data pipelines and experiment ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Strong Python plus PyTorch or JAX * Experience with large‑scale data pipelines and experiment ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language ... Strong Python plus PyTorch or JAX * Experience with largescale data pipelines and experiment ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

We're looking for researchers and experienced engineers from any background. Trading experience is ... PyTorch/TensorFlow * Proficiency in Python, C++, or similar languages for tooling, testing, and ...

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... Experience with TensorFlow, PyTorch, or Scikit-learn. * Familiarity with Kubeflow Pipelines or ...

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

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 ...

IMC Inc

Machine Learning Engineer

Chicago, IL

$175K - $250K/yr

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 ...

eNett

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255K/yr

Proficiency in Python and key machine learning frameworks (PyTorch, TensorFlow, or similar ... Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar ...

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 ...

WEX

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255K/yr

Proficiency in Python and key machine learning frameworks (PyTorch, TensorFlow, or similar ... Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar ...

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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

Hardware Machine Learning Engineer

IMC Trading

Chicago, IL • On-site

$127K - $168K/yr

Full-time

Posted 4 days ago

Job description

Job Summary:
IMC Trading is a global trading firm known for its cutting-edge research and technology. They are seeking a Hardware Machine Learning Engineer to architect solutions that deploy machine learning directly onto custom hardware, influencing research direction and driving real impact in demanding computing environments.
Responsibilities:
• Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
• Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
• Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
• Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
Qualifications:
Required:
• Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
• Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
• Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
• Proficiency in Python, C++, or similar languages for tooling, testing, and simulation
• Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams
Preferred:
• Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
• Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
• Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
• Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience
Company:
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Founded in 2022, the company is headquartered in Klein Amsterdam, NLD, with a team of 1001-5000 employees. The company is currently Late Stage.

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