Join Salesforce's Einstein platform team, where we're revolutionizing how organizations build and deploy advanced AI and machine learning products. We're at the forefront of democratizing Generative AI, Predictive AI, and AI Agents, enabling businesses to create intelligent applications efficiently. As a Senior Software Engineer, you'll work with cutting-edge technologies like Sagemaker, TensorFlow, and PyTorch to build scalable ML services.
You'll lead the design and development of microservices architectures for ML pipelines, take ownership of core platform technologies, and drive high-impact engineering initiatives. The role involves working with cloud providers like AWS and GCP to build and scale Big Data applications, while maintaining service reliability through on-call rotations.
We're looking for experienced engineers with 3+ years in Big Data and ML, strong programming skills in Java, Scala, and Python, and expertise in distributed systems. You'll contribute to our technical roadmap, mentor team members, and push the boundaries of machine learning and AI at Salesforce.
The position offers competitive compensation ranging from $125,700 to $227,700, depending on location (San Francisco or Seattle). You'll be part of a team that's transforming how businesses leverage AI, working with enterprise-scale systems and cutting-edge ML technologies. This is an opportunity to shape the future of AI integration in enterprise software while working with some of the industry's best talents.