Senior Python Engineer Wanted

About the Role

At ClearML, our SDK is the bridge between data scientists and our infrastructure. We are seeking a Senior Python Engineer to work on the client-side clear‑open source library. This is not a standard backend role; you won’t be tuning databases. Instead, you will be building the “magic” that allows ClearML to automatically track experiments, create wheels for PyPI, and ensure our code runs smoothly in diverse user environments. You will dive deep into Python internals and build integrations with the latest AI frameworks (PyTorch, TensorFlow, vLLM, etc.). If you love metaprogramming, understanding how imports work under the hood, and packaging libraries for thousands of users, this role is for you.

Responsibilities

Core SDK Development: Design and maintain the client‑side Python SDK, ensuring high performance and backward compatibility across Python versions.

Automatic Instrumentation: Develop logic to automatically capture code execution, parameters, and metrics using advanced Python techniques (monkey patching, etc.).

ML Framework Integration: Build and maintain deep integrations with leading AI frameworks (PyTorch, TensorFlow, vLLM, etc.).

Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and eggs, and managing releases to PyPI and Conda.

Cross‑Platform Reliability: Ensure the SDK functions seamlessly across Linux, macOS, and Windows environments.

Debug User Environments: Troubleshoot complex client‑side issues related to multiprocessing, serialization (pickle/dill), and memory management.

Requirements

• 8+ years of professional software development experience.
• Deep Python expertise: understanding of metaclasses, descriptors, import handling, and memory management.
• Packaging experience: proven ability to build and package Python libraries (setup.py, poetry, wheel creation) and publish to public repositories such as PyPI.
• Runtime modification: strong familiarity with monkey patching, AST manipulation, or writing custom import hooks.
• AI ecosystem knowledge: familiarity with the internals of frameworks like PyTorch, TensorFlow, or vLLM.
• Collaboration: experience working in a remote, distributed team and contributing to code reviews.
• Excellent communication skills and the ability to work independently or as part of a team.

#J-18808-Ljbffr