Lead/principal Applied Scientist

Salesforce

Multiple Locations
Base: $172,500 - $313,700 annually; base: $207,800...
Llm training and fine-tuning
Reinforcement learning pipelines
Production-grade model deployment
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, from research ideation and training to fine-tuning, evaluation, continuous learning, and production rollout.
  • Salesforce offers a variety of benefits including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

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 or benefits as applicable

Skills & Requirements

Must-have

  • LLM training and fine-tuning
  • Reinforcement learning pipelines
  • Production-grade model deployment
  • Hands-on model development lifecycle
  • Python, PyTorch, TensorFlow

Nice-to-have

  • Enterprise AI experience
  • Trust, safety, governance frameworks
  • External research publications
  • Mentoring junior scientists

Key Requirements

  • PhD in Computer Science, Machine Learning, AI
  • Strong publication record in top-tier venues
  • Demonstrated hands-on experience
  • Deep expertise in LLMs
  • Strong background in reinforcement learning
  • Experience building continuous learning systems
  • Advanced proficiency in Python
  • Deep experience with PyTorch, TensorFlow
  • Practical experience with modern LLM tooling
  • Strong data analysis and experimentation skills
  • Experience mentoring junior researchers or engineers

Work Rights

Not specified

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