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About the role
Requirements
5+ years of professional experience building scientific or quantitative data-intensive software
Expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning
Excellent problem solving skills and attention to detail
Expertise in architecting, maintaining, and optimizing distributed, parallel computing systems
Keep up with the constantly evolving toolset for ML and AI Ops
Knowledgeable about software architecture and can design scalable, performant solutions
Value code quality and write maintainable, testable code
Preferred Qualifications
Advanced degree (MSc or Ph.D.) in STEM
Thorough knowledge of the Linux operating system
Experience with Celery, and MongoDB
Believe in the scientific method and use data to drive decisions
Can give and receive informed, actionable feedback on technical and non-technical skills
Experienced at mentoring junior engineers
Strong communicator, especially in text; can write documentation and discuss tradeoffs of different implementations
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