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Pytorch Developer Jobs in Illinois (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

AI Engineer

Peoria, IL · On-site

$75K - $110K/yr

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

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 ...

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 ...

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 ...

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

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 ...

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Showing results 1-20

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 cities in Illinois are hiring for Pytorch Developer jobs? Cities in Illinois with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Illinois as of May 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior Machine Learning Engineer (LLMs)

Albi

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

We're building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs. This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language models that automate real workflows and move real revenue.
You will:
  • Own end-to-end LLM systems: architecture, training, evals, and iteration
  • Fine-tune and extend existing models (LoRA, instruction tuning, RLHF)
  • Build and maintain data pipelines from product databases, documents, APIs, and logs
  • Ship reliable, monitored, production models with clear guardrails
  • Collaborate closely with product and engineering to turn messy real-world problems into working systems
  • Build and coordinate the AI engineering team
  • Use Claude Code as a core tool for development, refactors, tests, and experiments

This is for you if:
  • "How does this actually work under the hood?" is your default question
  • You're fine sitting with a hard problem for days and reading papers on weekends to figure it out
  • If there's something interesting to learn or solve, it doesn't matter if it's Saturday or 1 a.m., you're in
  • You build side projects nobody asked for and write cleaner code than anyone requires
  • You're quietly competitive, self-taught in at least one major skill, and think in systems
  • You're slightly allergic to meetings without a clear purpose or owner

Requirements
  • 5+ years of real world experience in ML / AI engineering
  • Proven experience training or substantially contributing to training LLMs (not just calling APIs)
  • Deep understanding of transformers, attention, and training dynamics
  • Strong Python plus PyTorch or JAX
  • Experience with large-scale data pipelines and experiment tracking
  • Hands-on fine-tuning (LoRA, instruction / SFT, RLHF or similar)
  • Comfortable using Claude Code as part of your daily workflow
  • Able to explain complex systems simply to non-technical stakeholders and go deep with experts
  • Track record of owning projects end-to-end and mentoring other engineers

Nice to have:
  • Distributed training (FSDP, DeepSpeed, Megatron, etc.)
  • Inference optimization (quantization, speculative decoding, vLLM, Triton)
  • Experience shipping LLM features in production SaaS
  • Open-source contributions or published work or patents in ML / NLP
  • Microsoft Foundry experience

Benefits
  • Competitive salary (based on experience and location)
  • Generous PTO
  • Medical, dental, and vision coverage
  • 401(k) plan
  • High ownership and autonomy over your work
  • Direct collaboration with a small team of smart, kind, motivated engineers
  • An environment that values deep work, clear thinking, and real impact
  • Regular team events and off-sites
  • Equipment and learning budget to help you do your best work and keep up with the frontier