Applied Machine Learning Research Scientist

Highlights

• Turn modern ML ideas into scalable systems on the world's largest AI chip.
• Improve LLMs across pretraining, fine-tuning and RL-based post-training.
• Build training pipelines that power ultra high-speed inference at scale.

Ideal candidate

Hands-on ML engineer who loves turning papers into reliable systems at scale and building deep intuition for how LLMs train and run in practice.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 4+ years of experience working with machine learning systems
• Strong programming skills in Python
• Experience with ML frameworks such as PyTorch
• Solid understanding of machine learning fundamentals
• Familiarity with deep learning architectures, particularly transformers
• Ability to read modern ML papers and implement key ideas