Software Engineering Architect

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details 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. About the Team: Digital Enterprise Technology (DET) at Salesforce builds the internal engines that power our business. The Machine Learning & Innovation (MLI) team is the applied science and infrastructure strike-force responsible for "Foundry," our unified ML/AI Platform. We operate as "Customer Zero," building the high-velocity, real-time streaming feature platforms and recommendation models that power internal products like the Events App and enterprise-wide personalization. Role Overview: As a Principal Applied Scientist, you will specialize in advanced statistical testing methodologies, model observability, and exploratory intent detection. You will tackle high-difficulty algorithmic bottlenecks and build the frameworks that ensure our online systems remain accurate, unbiased, and performant as they scale. Your research will directly shape upcoming agentic workflows and next-best-action discovery platforms. What You'll Do: Establish comprehensive model observability frameworks to detect data drift, concept drift, and performance degradation in real-time online systems. Lead exploratory algorithmic research on intent detection and contextual classification for the Next Best Offer (NBO) discovery program. Design and implement rigorous statistical validation engines to ensure the mathematical integrity of ML models pre- and post-deployment. Contribute core statistical algorithms and testing methodologies to the enterprise Stats Engine. Diagnose complex behavioral anomalies in production ML systems using advanced statistical analysis. Collaborate closely with data engineers and platform architects to ensure telemetry schemas support rigorous scientific evaluation. What You Bring: PhD in Computer Science, Applied Mathematics, Physics, or a related quantitative discipline. 15+ years of experience in applied science, statistical modeling, and deep algorithmic problem solving. Expertise in anomaly detection, model monitoring/observability, and statistical hypothesis testing. Strong background in Natural Language Processing (NLP) or intent detection methodologies. Proficiency in Python and advanced data science tooling. A demonstrated ability to pivot between deep theoretical research and pragmatic, production-focused engineering solutions. 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 , 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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form . 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