Senior / Lead Member of Technical Staff, AI Research

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Palo Alto, CA
Salary
$172,500–$260,100 / yr
Employment
Full-time
Posted
35 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $216k
$157k $275k
below market most similar roles pay here above market

This role pays more than 52% of similar roles. Most pay $173,275–$254,750 — the blue band above. At the midpoint, this role pays about $216k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Senior / Lead Member of Technical Staff, AI Research

JOB TITLE: Senior / Lead Member of Technical Staff - AI Research The Senior / Lead Member of Technical Staff - AI Research joins the Agentforce team to design, implement, and iterate on agentic AI systems. This role involves building and shipping production-grade software, orchestrating complex systems where AI agents integrate into human workflows, and maintaining shared system contexts. The successful candidate will utilize Python, C++, and Java to develop end-to-end AI agents featuring tool use, planning, memory, and multi-step reasoning. Key technical requirements include deep learning frameworks, Docker, and cloud platforms like AWS, GCP, or Azure. The position focuses on solving the technical challenges of agentic workflows, requiring expertise in LLM orchestration, prompt engineering, and model training pipelines to deliver secure, optimized, and high-quality AI-driven applications for enterprise customers.

What you'll do

  • Build and ship high-quality, production-grade software using modern engineering practices and AI-driven development workflows.
  • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows.
  • Contribute to building and maintaining a shared system context of designs, constraints, and standards for AI reliability.
  • Critically evaluate human and AI-generated code for correctness, security, and performance.
  • Implement and debug model training, evaluation, and inference pipelines using deep learning frameworks.
  • Deploy ML systems using Docker and major cloud platforms like AWS, GCP, or Azure.
  • Write precise, structured prompts to cultivate reliable and secure AI outputs.

What we're looking for

  • 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 and shipping high-quality, production-grade software using modern engineering practices.
  • Practical experience with LLMs and agentic workflows including tool use, planning, memory, and multi-step reasoning.
  • Hands-on experience with deep learning frameworks and implementing model training, evaluation, and inference pipelines.
  • Experience deploying ML systems using Docker and cloud platforms such as AWS, GCP, or Azure.
  • Advanced prompt engineering skills and the ability to write precise, structured prompts.
  • Competitive coding winner (ACM-ICPC, etc.) (preferred).

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