Senior AI scientist
Tasks
- Apply and validate scaling laws
- Apply mixed precision and optimization techniques for large scale training
- Define technical direction for next generation models
- Design and train large scale transformer and hybrid foundation models
- Diagnose and resolve training instabilities at scale
- Execute distributed foundation model training
- Experiment with loss functions for language model alignment
- Own optimizer and scheduler choices
Perks/Benefits
- N/A
Skills/Tech-stack
ALiBi | Adafactor Optimizer | AdamW | Attention Mechanisms | BF16 | Chinchilla Scaling | Contrastive Learning | DPO | Deep learning | FP8 | FSDP | GRPO | Gradient Checkpointing | Gradient Pathologies | Grouped Query Attention | Language Models | Large Language Models | Learning Rate | Learning Rate Warmup | Lion Optimizer | Loss Functions | Mixed Precision | Mixture of Experts | Mixture of Experts MoE | Next Token Prediction | Optimizer Instability | Pipeline parallelism | RLHF | ROPE | Representation Learning | Scaling Laws | Tensor Parallelism | Transformers | ZeRO 3
Education
Roles
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