Machine Learning Engineer
Core
Build and operate ML-powered features that create magical experiences for customers, driving business insights and strategic decision-making through innovation in data, analytics, and AI.
Role type
Senior IC machine learning engineer (full lifecycle)
Builds
ML-powered features for internal and external customers, including revenue forecasting, churn analysis, personalization, recommendation, anomaly detection, and NLP.
Domain
SaaS productivity tools, data analytics, and AI
Deliverable
production ML models
Required skills
Full ML lifecycle execution, statistical and ML modeling, managed ML services (Vertex AI/SageMaker), foundation models and prompt engineering, Python/Scala/Java/SQL, ML frameworks (Keras/TensorFlow/PyTorch), ETL and workflow frameworks (Spark/Beam/Airflow), time series ML, semantic search and embeddings
Preferred skills
None stated
Technologies
Vertex AI, SageMaker, Keras, TensorFlow, PyTorch, Apache Spark, Beam, Airflow
Responsibilities
Own ML features end-to-end from design through deployment and monitoring; collaborate with product, design, and engineering to define success metrics; troubleshoot deployment pipelines and incident response; serve as subject matter expert for data contracts and SLAs; champion AI tool adoption
Seniority
Senior, hands-on IC
