• Translate mathematical specifications into production code. You'll receive formulations, equations, and pseudocode from the research side of the team. Your job is to understand the intent and write Python that is correct, readable, testable, and maintainable. • Improve existing codebases. The current code works in production but has room for architectural improvement. You'll progressively modernize it — better modularity, type safety, test coverage, error handling, and overall code quality. • Build new analytical features end-to-end. As our products evolve, you'll implement new capabilities — taking them from mathematical concept to deployed, production-ready code. • Bridge the gap between research and engineering. The ability to communicate across these worlds — asking good questions, translating between math and code, pushing back constructively will be critical to your success here.

• Design, modernize and develop • Collaborate • Optimize and ensure reliability

• Design, develop, test, deploy, and maintain high-quality software solutions. • Translate business and functional requirements into clear technical specifications. • Collaborate on system architecture design, implementation, and testing. • Troubleshoot and resolve technical issues reported by internal teams or clients. • Contribute to the development of user-facing applications and backend services. • Promote and uphold development standards and software engineering best practices. • Actively participate in code reviews, pair programming, and agile ceremonies. • Provide input into project planning and technical decision-making.

• Build features and systems with attention to detail and performance. • Own end-to-end development, from conception to production. • Engineer not only solutions but also tools to understand the problem. • Work closely with cross-functional stakeholders to deliver a world-class product. • Identify and implement improvements to our existing systems. • Help establish a fun, fulfilling, world-class engineering culture.