Job Description:
We are seeking a Senior AI Infrastructure Developer to design and implement high-performance data pipelines for processing large-scale datasets with an emphasis on reliability and reproducibility.
This role involves collaborating with researchers to translate their requirements into scalable, production-grade systems for AI experimentation. You will optimize resource utilization across our distributed computing infrastructure through profiling, benchmarking, and systems-level improvements.
You will also be responsible for implementing low-latency high-throughput sampling for models.
Required Skills and Qualifications:
* Experience building and maintaining data pipelines and ETL systems at scale
* Experience with large-scale ML infrastructure and familiarity with training and inference workflows
* Strong understanding of best practices in data management and processing
* Knowledge of systems-level programming and performance optimization
* Proficiency in software engineering in Python
* Understanding of AI/ML workloads, including data preprocessing, feature engineering, and model evaluation
Why Work With Us?
We are a global quantitative trading firm that combines deep research, cutting-edge technology, and a collaborative culture. We build most of our systems from the ground up, and innovation is at the core of everything we do.
As a Senior AI Infrastructure Developer, you will play a critical role in shaping the future of AI at our company — enabling research at scale, accelerating experimentation, and helping unlock new opportunities across the firm.