Software Engineer - ML Infrastructure

Einstein products & platform at Salesforce is revolutionizing AI integration across their ecosystem, making machine learning and AI products accessible and efficient. The platform handles over a billion predictions daily and trains thousands of models, including various Large Language Models (LLMs). As a Software Engineer in ML Infrastructure, you'll be at the forefront of developing scalable generative AI services that integrate with numerous applications and serve thousands of tenants. The role combines technical expertise in ML engineering with distributed systems, requiring proficiency in languages like Java, Scala, and Python, along with experience in cloud infrastructure and containerization. You'll work with cutting-edge technologies while collaborating with cross-functional teams to build innovative solutions. The position offers competitive compensation and the opportunity to work with a leading enterprise software company that's pushing the boundaries of AI implementation. You'll be part of a team that values both technical excellence and collaborative problem-solving, working on systems that directly impact how businesses leverage AI technology. The role requires both strong technical skills and the ability to work effectively with various stakeholders, making it an ideal position for someone passionate about ML infrastructure and scalable systems.