$172,500 - $313,700 annually; not specified; not s...
Not specified
Llm training and fine-tuning
Reinforcement learning pipelines
Production-grade model deployment
Salesforce is seeking a Lead/Principal Applied Scientist to advance large language model (LLM) research and development within their AgentForce Data Science team. The ideal candidate will have a PhD in a relevant field and significant experience in model development, particularly with LLMs and reinforcement learning
Job Summary
The AgentForce Data Science team powers the core Large Language Models (LLMs) behind Salesforce’s production-grade AI agents.
We are seeking a strong Lead/Principal Applied Scientist to drive advanced LLM research and model development for AgentForce’s production services.
This role requires hands-on involvement across the full model development lifecycle, in addition to technical leadership and mentorship.
Matching Summary
Match Score: 85
Salesforce is seeking a Lead/Principal Applied Scientist to advance large language model (LLM) research and development within their AgentForce Data Science team. The ideal candidate will have a PhD in a relevant field and significant experience in model development, particularly with LLMs and reinforcement learning.
Salary
$172,500 - $313,700 annually; Not specified; Not specified
Skills & Requirements
Must-have
LLM training and fine-tuning
Reinforcement learning pipelines
Production-grade model deployment
Python and deep learning frameworks
LLM tooling experience
Nice-to-have
Enterprise AI experience
Trust and safety frameworks
Large-scale distributed compute
Key Requirements
PhD in Computer Science, Machine Learning, AI, or related field
Strong publication record in top-tier venues
Hands-on experience owning full model development lifecycle
Deep expertise in large-scale LLM training/fine-tuning
Experience with PyTorch, TensorFlow
Experience with Hugging Face, DeepSpeed, Ray, Kubernetes