Software Engineering LMTS- MLE

• Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production.

• Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis.

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• Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production

• Familiarity with Vector databases (Milvus / Pinecone), and applied generative AI frameworks like LangChain, LlamaIndex, RAG pipelines.

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• Good working knowledge of Deep Learning and Machine Learning algorithms. In the very least, you have a strong interest in this domain, as exemplified by coursework you've taken and personal projects you developed.

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• Experience in d eveloping Generative AI systems at Scale with complex business use cases and large scale of unstructured data.

• Strong Machine Learning Engineering background and familiarity with state-of-the-art generative AI techniques especially for NLP.

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• Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods.

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• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

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.

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