Senior Member of Technical Staff - AI Research

Salesforce•Palo Alto, CA

4d•$148,500 - $246,000

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Agentforce is the future of AI, and you are the future of Salesforce. This role involves working closely with software engineers, product managers, and solution engineers to design, implement, and iterate agentic AI systems with customers. With strong technical competence, strategic thinking, and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.

Requirements

Exceptional engineering skills.
Deep ML knowledge with meaningful implementation track records.
Prioritize deep and strategic thinking.
Dedication, patience, and resilience to build exceptional product experience.
Collaborative and win with teams.
Proactive and bias to action, comfortable in fast-pacing environment.
Strong proficiency in Python; solid experience with C++ and/or Java.
Strong software engineering fundamentals (data structures, algorithms, system design).
Experience building production-quality systems.
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.
Familiarity with prompting, orchestration, and evaluation for LLM-based systems.
Hands-on experience with deep learning frameworks.
Strong understanding of ML fundamentals.
Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure).
A demonstrated, genuine AI-first approach to engineering.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
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.

Nice To Haves

Competitive coding winner (ACM-ICPC, etc).
Startup founders in agentic AI, LLM, area (e.g., YC backed startup).
Familiarity with distributed training or inference and performance optimization.

Responsibilities

Design, implement, and iterate agentic AI systems with customers.
Innovate at the frontier of the field, creating new solutions and defining new product categories.
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow.
Push the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
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.
Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance.
Implement and debug model training, evaluation, and inference pipelines.
Deploy ML systems using Docker and cloud platforms (AWS, GCP, or Azure).
Use AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Apply 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.