Quantitative Developer – Compute & ML Platform
Core
Building compute, storage, and model infrastructure to support quantitative research and live trading, including distributed datasets and ML pipelines.
Role type
Senior IC quantitative developer (compute & ML platform)
Builds
Distributed dataset APIs, ML training/serving pipelines, and compute infrastructure for research and trading
Domain
Quantitative finance, distributed systems, machine learning
Deliverable
production ML models | product features
Required skills
Python, distributed systems, machine learning, PyTorch, XGBoost, Git, Unix/Linux, Bash, CI/CD
Preferred skills
kdb+, PyKX, Polars, Arrow, Kubernetes, cloud tooling
Responsibilities
Extend proprietary distributed dataset API with new operators and optimizations; Design and implement machine learning pipelines for training, tuning, and serving; Improve reliability and observability of compute infrastructure; Build durable abstractions for distributed compute backends; Write, support, maintain, and test code using engineering practices; Partner on platform direction and architecture; Collaborate with researchers and engineers on compute/storage capabilities
Seniority
Senior, hands-on IC