Senior Machine Learning Engineer
Core
Building machine learning systems for personalized feed, asset ranking, notification orchestration, and LLM-driven market insights to help millions of users discover and engage with crypto, equities, derivatives, and prediction markets.
Role type
Senior Machine Learning Engineer (L5)
Builds
Personalized recommendation and ranking systems, intelligent notification orchestration, LLM pipelines for market insights, and low-latency model serving services.
Domain
Financial technology (crypto, equities, derivatives, prediction markets)
Deliverable
production ML models
Required skills
End-to-end ML lifecycle ownership, recommendation systems, multi-stage ranking and retrieval, contextual bandits, production LLM applications, Python or Go, PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, Tecton, offline model evaluation, training-serving skew mitigation, online A/B experimentation, architectural trade-offs, mentoring
Preferred skills
Generative AI usage with human oversight
Technologies
PyTorch, GBDTs, Spark, Databricks, Ray, Kafka, Tecton
Responsibilities
Own end-to-end ML initiatives from problem formulation to production deployment and A/B testing; Build and iterate on multi-stage recommendation and retrieval models; Design intelligent notification orchestration and targeting systems; Develop production LLM pipelines and automated evaluation loops; Architect resilient, low-latency model serving services and real-time feature pipelines; Partner with cross-functional teams to shape roadmap and mentor junior engineers
Seniority
Senior, hands-on IC
