Salesforce
Technology
LeadAppliedScientist–AgentForce
“Lead Applied Scientist – AgentForce at Salesforce. Skills: Large Language Models, Model development, Reinforcement learning, Production deployment. Own and execute hands-on work across model development. Prepare data”
What You'll Achieve.
Drive measurable model improvements; Meet latency, scalability, reliability, and safety requirements
Industry & Context.
Failure analysis; Troubleshooting
What They're Looking For.
Must Have
PhD in Computer Science, Machine Learning, AI, or related field, Demonstrated hands-on experience owning full model development lifecycle, Deep expertise in large-scale model training and fine-tuning, Strong background in reinforcement learning, preference learning, or human-in-the-loop learning, Experience building and maintaining continuous learning systems, Solid understanding of model evaluation, alignment, and robustness, Advanced proficiency in Python, Deep experience with PyTorch, TensorFlow or similar, Experience with Hugging Face (Transformers, Accelerate, PEFT), Experience with Distributed training frameworks (DeepSpeed, FSDP, etc.), Experience with ML orchestration and scaling tools (Ray, Kubernetes, internal platforms), Strong data analysis and experimentation skills, Experience mentoring and developing junior researchers or engineers, Strong communication skills across research, engineering, and executive stakeholders
Nice to Have
Strong publication record in top-tier venues or equivalent industry research impact, Experience deploying and iterating on models in production, high-availability systems, Background in enterprise AI, agentic systems, or LLM platforms at scale, Familiarity with trust, safety, or governance frameworks for AI systems, Experience with large-scale distributed compute environments
What You'll Do.
Own and execute hands-on work across model development
Ensure deployment readiness
Lead end-to-end research initiatives on LLM training
Lead end-to-end research initiatives on LLM fine-tuning
Lead end-to-end research initiatives on LLM alignment
Lead end-to-end research initiatives on LLM optimization
Design reinforcement learning pipelines
Implement reinforcement learning pipelines
Iterate on reinforcement learning pipelines
Design continuous learning pipelines
Implement continuous learning pipelines
Iterate on continuous learning pipelines
Conduct rigorous experimentation
Conduct ablation studies
Conduct failure analysis
Drive measurable model improvements
Translate research prototypes into production-grade models
Meet latency requirements
Meet scalability requirements
Meet reliability requirements
Meet safety requirements
Serve as technical POC for AI projects
Drive alignment across research
Define best practices for model training
Define best practices for model fine-tuning
Define best practices for model evaluation
Define best practices for release readiness
Influence architectural decisions
Influence modeling decisions
Mentor junior scientists
Mentor junior engineers
Provide direct technical guidance
Conduct code-level reviews
Foster culture of scientific rigor
Foster culture of reproducibility
Foster culture of ownership
Contribute to Salesforce's external research presence
Engage in collaborations
How You'll Work.
Team & Collaboration
Alignment across teams; Cross-functional teams; Research; Engineering; Product; Platform teams
Communication Scope
Executive stakeholders
Applying for this Lead Applied Scientist – AgentForce role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Salesforce?
Real rants from real employees. Read before you apply.