Applied Scientist- II
Core
Train and deploy Language Models adapted to specific industry needs, focusing on reinforcement learning for long-horizon dynamic workflows.
Role type
Applied Scientist (LLM Research & Engineering) (via careerplan.io/jobs/1970393556875421-applied-scientist-ii-at-microsoft)
Builds
Production-ready language models and generative AI pipelines
Domain
Generative AI, Large Language Models, Reinforcement Learning
Deliverable
production ML models
Required skills
training and fine-tuning AI/ML models, building Generative AI pipelines (RAG), Python, PyTorch, multi-agent training in dynamic harness, training very large-scale language models (100B+ to trillion parameters), distributed training, async RL, long sequence handling
Preferred skills
none stated
Technologies
Python, PyTorch
Responsibilities
Create and adapt novel training and fine-tuning algorithms for language models; conceive and execute research projects to advance training methodologies; drive end-to-end translation of research into product capabilities from ideation to production integration
Seniority
Mid-level (II), hands-on IC
