Senior Member of Technical Staff AI Research

Salesforce

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Palo Alto, CA
Salary
$172,500–$260,100 / yr
Posted
32 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k
This role $216k
$160k most similar roles pay here $287k

This role pays less than 59% of similar roles. Most pay $198,400–$255,250 — the shaded band above. At the midpoint, this role pays about $216k versus about $227k for comparable roles.

Based on 239 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 106 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 98 roles with salary data.

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At a glance

TL;DR · Senior Member of Technical Staff AI Research

Senior Member of Technical Staff - AI Research will join a team focused on designing, implementing, and iterating agentic AI systems. The role involves building production-grade software where AI is integrated into human workflows, developing shared system contexts for reliable AI operation, and critically evaluating code for quality and security. Candidates must possess deep machine learning knowledge, experience with LLM systems including tool use and multi-step reasoning, and expertise in model training and inference pipelines. The required technical stack includes Python, C++, or Java, along with proficiency in Docker and cloud platforms like AWS, GCP, or Azure. Essential skills include advanced prompt engineering, strong software engineering fundamentals such as data structures and algorithms, and a demonstrated AI-first approach to development using tools like GitHub Copilot or Claude Code to solve complex problems in the agentic AI space.

What you'll do

  • Design, implement, and iterate on agentic AI systems in collaboration with product managers and solution engineers.
  • Build and ship high-quality, production-grade software using modern engineering practices and AI-driven development workflows.
  • Orchestrate complex systems where AI agents integrate into human workflows to drive efficiency at scale.
  • Maintain a shared system context of designs, constraints, and standards to ensure reliable AI performance.
  • Critically evaluate both human and AI-generated code for correctness, security, and performance.
  • Develop end-to-end AI agents using advanced prompt engineering and multi-step reasoning techniques.
  • Deploy and optimize ML systems using Docker and major cloud platforms like AWS, GCP, or Azure.

What we're looking for

  • Strong proficiency in Python with solid experience in C++ and/or Java.
  • Deep knowledge of machine learning fundamentals and hands-on experience with deep learning frameworks.
  • Experience building, implementing, and debugging model training, evaluation, and inference pipelines.
  • Practical experience with LLMs, agentic workflows, prompting, orchestration, and evaluation for LLM-based systems.
  • Proven ability to build production-quality software using modern engineering practices and high-quality system design.
  • Experience deploying ML systems using Docker and cloud platforms such as AWS, GCP, or Azure.
  • Advanced prompt engineering skills and experience using AI tools in development workflows.
  • Strong software engineering fundamentals including data structures, algorithms, and performance optimization.

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