Software Engineer - ML Infrastructure

Join Salesforce's Einstein products & platform team, where we're democratizing AI and transforming how our Salesforce Ohana builds trusted machine learning and AI products. Our platform enables the creation, deployment, and management of Generative AI and Predictive AI applications across all clouds, producing over a billion predictions daily and training thousands of models. We're seeking a Senior Software Engineer for ML Infrastructure to help design and deliver scalable generative AI services. You'll work with cutting-edge technologies, including large language models (LLMs), and be part of a team that's pushing the boundaries of AI integration in enterprise applications.

The role combines technical expertise in ML engineering with distributed systems knowledge, requiring experience in building AI systems and services. You'll be working with modern tech stack including Java, Python, Scala, and various cloud technologies. The position offers the opportunity to work on high-impact projects that directly affect thousands of customers and handle massive scale operations.

As part of our team, you'll collaborate with Product Managers, Data Scientists, and Researchers to bring innovative technologies to production. We offer competitive compensation ranging from $137,100 to $276,100 in California, with opportunities for professional growth in a company that's leading the AI revolution in enterprise software. If you're passionate about ML infrastructure, distributed systems, and want to work on challenges that haven't been solved before, this role offers an exciting opportunity to make a significant impact.