Senior / Staff Machine Learning Engineer

What you'll do

• Develop training recipes for pre-training, fine-tuning, reinforcement learning, and model distillation.
• Build and own scalable training frameworks and services on GPUs and TPUs using PyTorch or JAX.
• Implement model compression methods like teacher-student distillation and quantization-aware training.
• Diagnose and resolve training issues such as loss spikes, numerical instability, and throughput drops.
• Build reinforcement learning infrastructure including rollout services, reward pipelines, and secure sandboxes.
• Integrate the training platform with data and governance stacks to ensure privacy and security standards.
• Train models with long-context extensions, mixture-of-experts architectures, and multimodal inputs.

What we're looking for

• 8+ years of experience in large-scale model training, including reinforcement learning, from research to production.
• 5+ years of experience building and operating large-scale model training systems in production.
• Experience with common fine-tuning and distillation techniques, such as supervised fine-tuning, LoRA, and teacher-student distillation.
• Hands-on experience with at least one higher-level training framework such as Megatron-LM, DeepSpeed, TorchTitan, NeMo, AXLearn, or MaxText.
• Deep expertise in PyTorch or JAX, including distributed training features.
• Strong programming skills in Python or C++.
• BS, MS, or PhD degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Experience with low-precision training, large-scale parallelism, GPU/TPU architecture, and profiling tools (preferred).