Machine Learning Engineer

Selby Jennings Shanghai, Chine

Mise en ligne il y a 25 jours Au Bureau CDI Negotiable

Responsibilities

Architecting and developing the next generation of Company's machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility
Building infrastructure that enables large-scale experimentation, model training, and simulation across on-premises HPC and multi-cloud environments
Partnering closely with quantitative researchers to understand evolving research workflows and translate them into robust platform capabilities
Designing and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads
Improving experiment management, model versioning, artifact tracking, and data lineage to ensure transparent and reproducible research
Developing tools and frameworks that streamline feature engineering, dataset generation, and large-scale backtesting
Leading initiatives to improve compute efficiency, resource scheduling, and workload isolation across heterogeneous environments
Enhancing platform observability, including metrics, logging, tracing, and debugging capabilities tailored to ML workloads
Supporting rapid iteration by implementing features and fixes on tight timelines while maintaining high engineering standards
Contributing to long-term architectural decisions that enable the platform to scale with increasing data volumes and model complexity

Qualifications

2+ years of experience designing and building large-scale distributed systems, ideally in support of research or data-intensive workloads
Strong programming experience in Python, with a focus on writing clean, maintainable, and high-performance code
Experience developing and operating applications on Linux-based HPC clusters and/or cloud platforms
Solid understanding of distributed computing concepts, parallel processing, and resource management
Experience with GPU-based workloads and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
Experience optimizing data pipelines and handling large-scale structured and unstructured datasets
Strong troubleshooting skills with the ability to debug complex, cross-layer system issues
Ability to work independently in a fast-paced, research-driven environment
Strong communication skills and experience collaborating directly with researchers or data scientists

Référence PR/595853

À PROPOS DE CETTE ENTREPRISE

Selby Jennings

New York, United States

1000 Collaborateurs Ressources humaines

We support the Financial Sciences & Services industry with talent that can truly shape the future of a business. Whether that be Quantitative Analyti...

Plus d'offres de Selby Jennings