Staff Machine Learning Engineer
Core
Build and scale production ML models and intelligent systems to solve complex business problems in financial services.
Role type
Staff Machine Learning Engineer (IC with leadership)
Builds
Production ML models, software components, and large-scale data pipelines for financial services
Domain
Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS/GCP/Azure, distributed systems, ML algorithms
Preferred skills
System architecture for large-scale ML, algorithm optimization, advanced ML techniques (RL, Transformers), data pipeline scaling, technical communication, open source contributions
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, Dask, RAPIDS, Python, Scala, Java, GoLang
Responsibilities
Deliver ML models solving business problems, drive creation/evolution of intelligent systems, lead large-scale ML initiatives, optimize data pipelines, evangelize best practices, recruit and nurture engineering talent
Seniority
Staff, hands-on IC with strategic leadership
