The AgentForce Data Science team powers the core Large Language Models (LLMs) behind Salesforce’s production-grade AI agents, impacting millions of users
Job Summary
The AgentForce Data Science team powers the core Large Language Models (LLMs) behind Salesforce’s production-grade AI agents, impacting millions of users.
This role requires hands-on involvement across the full model development lifecycle, in addition to technical leadership and mentorship.
Work on mission-critical LLM systems at massive scale, own models end-to-end, and shape the future of enterprise-grade AI agents.
Matching Summary
The AgentForce Data Science team powers the core Large Language Models (LLMs) behind Salesforce’s production-grade AI agents, impacting millions of users.
Salary
Base: $172,500 - $313,700 annually; Base: $207,800 - $344,700 annually in select SF/NYC metro areas; Bonus/Equity: company bonus, incentive for sales roles, equity; Benefits: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program
Skills & Requirements
Must-have
LLM training and fine-tuning
Reinforcement learning pipelines
Full model development lifecycle
Production-grade model deployment
Python and deep learning packages
Modern LLM tooling
Nice-to-have
External research presence
Enterprise AI experience
Trust, safety, governance 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 model training and fine-tuning
Strong background in reinforcement learning
Experience building continuous learning systems
Advanced proficiency in Python
Deep experience with PyTorch, TensorFlow
Experience mentoring junior researchers or engineers