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Salesforce

Builds cloud software for customer relationships

Principal Member of Technical Staff-AI Research

AI ResearchConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA$197.3k - $344.7k /yr

About the Job

Requirements

  • Exceptional engineering skills and deep machine learning knowledge demonstrated through meaningful implementation experience.
  • Strong proficiency in Python and solid experience with C++ and/or Java.
  • Strong software engineering fundamentals, including data structures, algorithms, and system design.
  • Experience building production-quality systems.
  • Practical experience with large language models and agentic workflows, including tool use, planning, memory, and multi-step reasoning.
  • Experience building end-to-end AI agents or complex AI-driven applications.
  • Familiarity with prompting, orchestration, and evaluation for large-language-model-based systems.
  • Hands-on experience with deep learning frameworks and a strong understanding of machine learning fundamentals.
  • Experience implementing and debugging model training, evaluation, and inference pipelines.
  • Experience deploying machine learning systems using Docker and cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with distributed training or inference and performance optimization.
  • Experience using AI tools such as Claude Code, GitHub Copilot, Codex, or Cursor in development workflows.
  • Advanced prompt engineering skills, including writing precise, structured prompts and cultivating system context that makes AI outputs reliable, secure, and production-ready.
  • A demonstrated AI-first approach to engineering, using AI to work faster, build fluency across the stack, and contribute beyond one's core specialty.
  • Competitive coding winner, such as ACM-ICPC, or a startup founder in agentic AI or large language models.

Responsibilities

  • Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of the development workflow, to deliver secure, optimized, high-quality code.
  • Design and orchestrate complex systems in which AI agents integrate into human workflows.
  • Contribute to building and maintaining shared system context, including system designs, constraints, and standards that enable AI to operate accurately and reliably.
  • Critically evaluate human- or AI-generated code for correctness, quality, security, and performance.
  • Implement and debug model training, evaluation, and inference pipelines.
  • Deploy machine learning systems using Docker and cloud platforms.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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