Senior AI scientist
Tasks
- Apply mixed precision training and gradient checkpointing
- Apply scaling laws for compute versus data optimization
- Collaborate with ML systems teams on model architecture
- Design and experiment with alignment and training objectives
- Design and train large scale transformer foundation models
- Diagnose training instability and optimization challenges
- Implement attention mechanisms and mixture of experts
- Lead distributed model training at scale
- Optimize transformer architectures
Perks/Benefits
Skills/Tech-stack
ALiBi | Adafactor | AdamW | Attention Mechanisms | BF16 | Contrastive Learning | DPO | Deep learning | Distributed Training | FP8 | FSDP | Foundation Models | GRPO | Gradient Checkpointing | Grouped Query Attention | Language Models | Large Language Models | Learning Rate | Learning Rate Scheduling | Lion | Mixed Precision | Mixture models | Mixture of Experts | Next Token Prediction | Pipeline parallelism | RLHF | ROPE | Representation Learning | Scaling Laws | Tensor Parallelism | Transformer | Warmup Scheduling | ZeRO 3
Education
N/A
Roles
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