Lead Machine Learning Engineer (Manager IC)
Core
Design, build, and deliver self-supervised learning foundation models using transformer architectures to power fraud, marketing, and servicing applications at scale.
Role type
Lead Machine Learning Engineer (Manager IC)
Builds
Production-ready foundation models and large-scale ML systems
Domain
Financial services / Self-supervised learning / Transformer architectures
Deliverable
production ML models
Required skills
Distributed computing, Python/Scala/Java programming, ML system scaling and optimization, Cloud architecture (AWS/Azure/GCP), Data pipeline construction, CI/CD automation, Model monitoring and maintenance, Responsible AI practices
Preferred skills
Master's/Doctoral degree in CS/EE/Math, Production data pipeline experience, Industry ML frameworks (PyTorch/Spark/TensorFlow), People leadership, Team development leadership, Public cloud deployment, ML research impact (papers/patents), Interactive AI tooling
Technologies
Python, Scala, Java, PyTorch, Dask, Spark, TensorFlow, AWS, Azure, Google Cloud Platform
Responsibilities
Design and implement model architecture and training pipelines, Develop and review application code for ML systems, Automate testing and deployment processes, Retrain and monitor models in production, Collaborate with Product and Data Science teams, Ensure model governance and risk management
Seniority
Senior, hands-on IC with people leadership responsibilities