Machine Learning Engineer

📋 Description

• Be in a brand new position in a growing team
• Develop large-scale distributed training pipelines for datasets and models
• Build and optimize low-latency inference pipelines for real-time predictions
• Develop libraries to improve ML framework performance
• Maximize training/inference performance using GPU hardware and acceleration libraries
• Design scalable model frameworks for high-volume trading data and real-time predictions

🎯 Requirements

• 5+ years of ML experience focused on training or inference
• Real-time, low-latency ML pipelines in high-performance environments
• Strong engineering skills: Python, CUDA, or C++
• Knowledge of PyTorch, TensorFlow, or JAX
• GPU programming for training/inference acceleration (CuDNN, TensorRT)
• Distributed training experience (Horovod, NCCL)