Senior Member of Technical Staff, AI Research

Job Category Software Engineering 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. Responsibilities 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. Qualifications 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 does not count. Startup founders in agentic AI, LLM, area (e.g., YC backed startup). As first contributor, open source and maintain projects that get 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. Benefits 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, and 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. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. 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. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Compensation 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: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 – $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 – $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr Salesforce