Software Engineering PMTS - ML Engineer

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 Senior Staff Data Engineer specializing in real-time telemetry, you will build the high-velocity streaming pipelines that feed our online feature platforms. You will tackle the hardest problems in stream processing—managing late-arriving data, maintaining stateful aggregations, and integrating complex third-party datasets—to ensure our machine learning models react to user behavior instantly. What You'll Do: Design and implement robust upstream event telemetry ingestion pipelines, ensuring high-fidelity data capture from source systems. Build and maintain complex stream processing applications (e.g., Flink, Spark Streaming) to compute real-time feature aggregations. Integrate diverse third-party datasets (e.g., demographic and firmographic data) into unified streaming feature definitions. Directly resolve critical engineering bottlenecks related to event ingestion into the Zipline feature platform. Define and deploy live feature contracts and monitoring systems to guarantee the freshness and correctness of online features. Collaborate with ML engineers to ensure streaming telemetry schemas perfectly align with the requirements of real-time inference models. What You Bring: 15+ years of experience in data engineering, with a strong specialization in high-throughput stream processing and real-time analytics. Deep expertise in streaming frameworks (Apache Flink, Apache Spark Streaming) and event brokers (Apache Kafka, AWS Kinesis). Strong proficiency in Python, Java, or Scala. Proven experience working with real-time feature stores (Zipline, Feast) and managing the complexities of stateful stream computation. Familiarity with AWS infrastructure and streaming data architectures. A strong focus on system resilience, low-latency processing, and exact-once/at-least-once delivery guarantees. 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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