TL;DR

Senior Python Engineer (AI/ML, Data): Building and optimizing complex data pipelines, AI/ML systems, and cutting-edge software solutions with an accent on technical leadership and architectural decisions. Focus on designing scalable, maintainable, and efficient data pipelines and exploring advanced AI/ML frameworks.

Company

WorldQuant develops and deploys systematic financial strategies across various asset classes and global markets, focusing on producing high-quality predictive signals through its proprietary research platform.

What you will do

  • Manage technical objectives and provide technical leadership for complex data pipelines, AI/ML systems, and software solutions.
  • Maintain a hands-on approach to development within a small team.
  • Work collaboratively across teams within the business-facing technology organization.
  • Conduct code reviews and drive architectural decisions.
  • Mentor junior team members.

Requirements

  • Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
  • 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
  • Expert-level knowledge of Python and its ecosystem, including data processing libraries like Pandas, NumPy, and PySpark.
  • Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
  • Strong communication skills with the ability to explain complex technical concepts.

Nice to have

  • Experience in the finance industry.
  • Experience with AI/ML frameworks such as PyTorch or scikit-learn, LLM, agents or systems of agents.

Culture & Benefits

  • A culture that pairs academic sensibility with accountability for results.
  • Encouragement for open thinking, balancing intellectualism and practicality.
  • Emphasis on continuous improvement and challenging conventional thinking.
  • Focus on hiring intellectually strong individuals with outstanding talent.
  • A relaxed yet intellectually driven environment.