Work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.
Innovate at the frontier of the field, creating new solutions with meaningful impact to Salesforce customers.

Requirements

Has exceptional engineering skills.
Has deep ML knowledge with meaningful implementation track records.
Prioritize deep and strategic thinking.
Has dedication, patience and resilience to build exceptional product experience.
Collaborative and win with teams.
Proactive and bias to action, comfortable in fast-pacing environment.
BS/MS student preferred; for PhD, meet additional criteria (e.g., top school, coding competition wins, startup founders, etc.)
Strong proficiency in Python; solid experience with C++ and/or Java
Strong software engineering fundamentals (data structures, algorithms, system design)
Practical experience with LLMs and agentic workflows
Experience building end-to-end AI agents or complex AI-driven applications
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)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonC++Javadata structuresalgorithmssystem designLLMsdeep learning frameworksML fundamentalsAI agents

Soft Skills

engineering skillsstrategic thinkingdedicationpatienceresiliencecollaborationproactivitybias to action

Certifications

BSMSPhD