Senior Member of Technical Staff, AI Research

Salesforce Salesforce · Enterprise · Palo Alto, CA +1

Salesforce AI Research is seeking a Machine Learning Engineer to develop a next-generation agentic AI platform. The role involves designing, implementing, and iterating on agentic AI systems, integrating them into human workflows, and contributing to the shared system context. The position requires strong engineering skills, deep ML knowledge, and experience with LLMs, agentic workflows, and production-grade AI systems.

What you'd actually do

  1. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
  2. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
  3. Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
  4. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

Skills

Required

  • Python
  • C++
  • Java
  • LLMs
  • agentic workflows
  • tool use
  • planning
  • memory
  • multi-step reasoning
  • prompting
  • orchestration
  • evaluation for LLM-based systems
  • deep learning frameworks
  • ML fundamentals
  • model training
  • model evaluation
  • inference pipelines
  • Docker
  • cloud platforms (AWS, GCP, or Azure)
  • distributed training
  • inference optimization
  • data structures
  • algorithms
  • system design

Nice to have

  • Competitive coding winner (ACM-ICPC, etc)
  • Startup founders in agentic AI, LLM, area (e.g., YC backed startup)
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows

What the JD emphasized

  • exceptional engineering skills
  • deep ML knowledge with meaningful implementation track records
  • Startup founders in agentic AI, LLM, area (e.g., YC backed startup)
  • Practical experience with LLMs and agentic workflows (tool use, planning, memory, multi-step reasoning)
  • Experience building end-to-end AI agents or complex AI-driven applications
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Other signals

  • Incubate next-generation agentic AI platform
  • Design, implement and iterate agentic AI systems
  • Innovate at the frontier of the field
  • Create new solutions and define new categories of product