Senior Software Engineer, Applied ML Systems
Core
Own the end-to-end decisioning and ranking pipeline for enterprise customers, including model inference, policy governance, and evaluation harnesses.
Role type
Senior IC Applied ML Systems Engineer
Builds
Production decisioning infrastructure (ranked recommendations, scoring pipelines, policy-governed outputs)
Domain
Enterprise decisioning, commercial targeting, ML operations
Deliverable
production ML models
Required skills
Python, gradient boosting models (LightGBM, XGBoost), DuckDB, evaluation harness design, policy logic implementation, CI/CD pipelines, feature engineering, technical leadership
Preferred skills
AutoML frameworks (AutoGluon), next-best-offer engines, multi-armed bandits, structured data from telecoms/finance/retail
Technologies
Python, DuckDB, LightGBM, XGBoost, AutoGluon
Responsibilities
Design and operate the candidate generation and multi-stage scoring pipeline; own the multi-gate evaluation harness including backtesting and LLM-as-judge scoring; implement and audit policy logic and governance rules; engineer behavioral signals and features to improve model performance; maintain the production service layer and incident response; drive technical direction and mentor contributors
Seniority
Senior, hands-on IC