Senior Research Engineer - Voleon Securities
Core
Own research infrastructure and overnight pipelines for AI/ML-driven liquidity-provision strategies in securities markets.
Role type
Senior Research Engineer (Quant Infrastructure)
Builds
ML training/testing environments, data pipelines, job graphs, and production market-making strategies.
Domain
Financial markets / Quantitative trading / AI/ML
Deliverable
production ML models
Required skills
Python, Go, C++, distributed computing, backend systems, database technologies (Postgres, MySQL, Cassandra, DynamoDB, SQLite, DuckDB, MongoDB), REST/gRPC APIs, ML model deployment, infrastructure architecture
Preferred skills
deep learning and RL frameworks (Pytorch, Jax), performance optimizations on highly available systems, quantitative market-making strategy development, cross-functional collaboration
Technologies
Python, Pytorch, Jax, Go, C++, Postgres, MySQL, Cassandra, DynamoDB, SQLite, DuckDB, MongoDB, REST, gRPC
Responsibilities
Develop and optimize ML driven research infrastructure; Optimize training and inference for machine learning models; Deploy machine learning models from research into production; Develop tooling to integrate data from diverse exchanges and sources; Improve the resilience and performance of trading systems; Mentor and develop other engineers on the team
Seniority
Senior, hands-on IC with mentorship responsibilities