Senior Machine Learning Engineer

Salesforce•New York, NY

19h

About The Position

About Salesforce 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. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Salesforce AI Research is looking for a Machine Learning Engineer to incubate next-generation agentic AI platform. You will work with research scientists, software engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers. With your 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. We are looking for candidates who 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. For this role, we mainly look for BS/MS student instead of PHD student (For PhD, only look for candidate who fulfill one of the 5 criteria below, and interested in MLE instead of RS role) Top school majoring in CS (Stanford, Berkeley, CMU, MIT) Competitive coding winner (ACM-ICPC, etc). Look for global and competitive competition, Kaggle dose not count. Startup founders in agentic AI, LLM, area (e.g., YC backed startup) As first contributor, open source and maintain projects that gets traction (2k+ stars) For BS/MS, as first author, publish at least one high-impact paper (500+ citations). For PhD, the bar will be higher (2-3 first-author high impact (500+ citations) papers or 1 first-author stellar (3000+citations) paper)

Requirements

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 implementing and debugging model training, evaluation, and inference pipelines
Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure)
Familiarity with distributed training or inference and performance optimization