Description

You will build core components for a model-driven computation platform, including infrastructure APIs and compute pipelines.

This role is on-site.

Responsibilities

• Design and implement frameworks for model-driven computations on graphs.
• Build infrastructure APIs supporting grid computing, data storage, and access.
• Unit test code, ensure reliability, and improve compute pipeline quality.
• Identify and implement improvements to the model and data platform.

Required Skills

• 5+ years of experience developing in Python.
• Fluency in Python with working knowledge of C, C++, or Java.
• Experience with web services using Flask or Django.
• Proven experience with large-scale scientific computing and algorithm development.
• Strong grasp of computing fundamentals: data structures, algorithms, OS, and programming languages.
• Exposure to numerical libraries such as Pandas or NumPy and data processing.
• Ability to reason about program behavior across multiple levels of abstraction.
• Experience contributing to open-source projects.

Key Skills

Education

Any Graduate