Senior Quantitative Platform Engineer – Compute & ML

Millennium Management LLC; Dublin; On-site; EUR 110,000 - 150,000; Full time

Job summary

Millennium seeks a Quantitative Developer to extend a Polars-style DataFrame API and build large-scale ML pipelines for research and live trading. You will work across data, compute, and model layers to enable scalable, auditable experimentation in a production setting.

You’ll design robust ML workflows, improve infrastructure reliability, and collaborate with researchers and engineers to evolve the platform with evolving backends and tools.

Qualifications

• 6+ years of Python and distributed systems experience in a quantitative finance environment.
• Bachelor’s degree in Computer Science, Mathematics, Financial Engineering, Operations Research, or a related field.
• Deep working knowledge of distributed compute frameworks such as Ray, Dask, Spark, PySpark, or Slurm.
• Hands-on experience with machine learning and deep learning workflows using PyTorch and XGBoost.
• Strong Git, Unix/Linux, Bash and CI/CD skills.
• Strong communication and collaborative team work.

Responsibilities

• Extend the proprietary distributed dataset API with new operators, optimizations, and a strong new-user experience.
• Design and implement ML pipelines spanning large-scale training, tuning, model serving, and retraining lifecycles for a growing model fleet.
• Improve reliability, observability, and multi-user capabilities of the compute infrastructure, including resource management.
• Build durable abstractions to keep the platform flexible as backends evolve.
• Write, test, and document code with CI/CD workflows and strong engineering practices.
• Collaborate with researchers and platform engineers on design and architecture of the platform.
• Coordinate with teams to align compute and storage capabilities across the environment.

Skills

Python

Distributed systems

Git

Unix/Linux

Bash

CI/CD

Communication

Education

Bachelor’s degree in Computer Science, Mathematics, Financial Engineering, Operations Research, or related field

Tools

Ray

Dask

Spark

PyTorch

XGBoost

Kubernetes

Polars

PyKX

Job description

Millennium seeks a Quantitative Developer to extend a Polars-style DataFrame API and build large-scale ML pipelines for research and live trading. You will work across data, compute, and model layers to enable scalable, auditable experimentation in a production setting.

You’ll design robust ML workflows, improve infrastructure reliability, and collaborate with researchers and engineers to evolve the platform with evolving backends and tools.