Applications Engineer

Support ML team by transforming experimental ideas into production-grade systems.

• •We’re looking for an Applications Engineer to support our ML team in transforming experimental ideas into production-grade systems.
• •This is a hands-on development role focused on turning early-stage causal inference models, analytics experiments, and prototypes into stable, maintainable, and performant code.
• •Key Responsibilities Translate early-stage ML notebooks, proofs-of-concept, and experiments into robust, testable, and modular Python code Optimize numerical and data-heavy code using Python tools such as Numba, Pandas, and NumPy Collaborate with ML scientists to improve the reproducibility, efficiency, and maintainability of research workflows Requirements 4–7 years of software development experience, with a focus on Python and data-centric systems Strong experience with numerical and analytical Python libraries like Pandas, NumPy, Numba, or SciPy Familiarity with software engineering best practices (modular design, testing, version control, etc.)