Job Details

Machine Learning Engineer

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)

Programming & Systems:

• 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

Agentic / LLM 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

Machine Learning & AI:

• Hands-on experience with deep learning frameworks
• Strong understanding of ML fundamentals
• Experience implementing and debugging model training, evaluation, and inference pipelines

Infrastructure & Deployment:

• Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure)
• Familiarity with distributed training or inference and performance optimization

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best. Our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what's possible for yourself, for AI, and the world.

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: salesforcebenefits.com.