Software Engineer, Machine Learning
Core
Operationalize machine learning models by taking ownership of prototypes built by data scientists and turning them into robust, scalable production systems for campaign optimizations.
Role type
Senior Machine Learning Engineer (Production/Deployment)
Builds
High-volume marketing platform services, big data solutions, and production-grade ML models for deliverability, forecasting, and optimization.
Domain
Ad tech, Connected TV advertising, performance marketing
Deliverable
production ML models
Required skills
Python, SQL, classification, regression, forecasting, model evaluation, system optimization, real-time data pipelines, experimentation frameworks, production model monitoring, large-scale data processing
Preferred skills
Reinforcement Learning (Q-Learning, Multi-Armed Bandits), Kedro, AutoGluon, PyTorch, Polars, BigQuery/GCP, Airflow/SQLMesh, Databricks
Technologies
Kedro, AutoGluon, PyTorch, Polars, BigQuery, GCP, Airflow, SQLMesh, Databricks
Responsibilities
Design and build robust marketing platforms; develop big data solutions using open-source frameworks; design, train, evaluate, and improve models for deliverability and optimization; refine thresholds and guardrails to reduce false positives; build offline and online evaluation workflows; partner with Product and Data Engineers to improve service reliability and latency; share ownership of production systems including on-call rotation.
Seniority
Senior, hands-on IC
