Senior Applied Scientist
Core
Design and execute training pipelines for large language models (LLMs), design experiments to validate LLM solutions, and implement inference solutions for customer deployment.
Role type
Senior Applied Scientist (LLM/Post-training)
Builds
Post-trained LLM solutions and inference pipelines
Domain
Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
LLM post-training, experiment design, inference solution implementation, research program management, live production system deployment, product lifecycle management, model training/fine-tuning, reinforcement learning, Python, PyTorch
Preferred skills
N/A
Technologies
PyTorch, Python
Responsibilities
Write and execute training pipelines for large language models post-training; Design experiments to show the effectiveness of LLM-based solutions; Design and implement inference solutions that incorporate post-trained models; Document experiments and communicate results across the team; Mentor early in career team members.
Seniority
Senior, hands-on IC