Senior Research Engineer/Scientist

📋 Description

• Lead end-to-end AI/ML research for enterprise LLMs across data curation, pretraining, fine-tuning
• Build scalable training/evaluation methods and pipelines for reproducibility and measurable
• Collaborate with researchers, engineers, and product managers to deliver high-impact work.
• Own projects from design to delivery, translating requirements into results.

🎯 Requirements

• Post-training LLM expertise, including supervised fine-tuning and distillation.
• RL for LLMs experience (PPO, GRPO, DPO, reward modeling).
• Distributed/large-scale training with FSDP, DeepSpeed, Megatron; various parallelism strategies.
• Synthetic data generation and large-scale data curation including deduplication and filtering.
• Experience with transformer architectures (decoder-only, encoder-decoder, MoE).
• Advanced Python, strong OOP and design-pattern skills; rapid prototyping.