SMTS​/LMTS Software Engineer - ML Infrastructure

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.

• 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.
• Participate in periodic on‑call rotations and be available for critical issues.
• Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production.
• Participate in meal conversations with your team members about really important topics, such as:
  Should the cuteness of panda bears be a factor in their survivability? Is love a decision tree or a regression model? How far ahead would society be today if we had 12 fingers instead of 10?

• 6+ years of industry experience of ML engineering in building AI systems and/or distributed services.
• Bachelor’s (or) Master’s degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms, data structures and software design.
• Experience building distributed microservice architecture on AWS, GCP or other public cloud substrates.
• Experience using modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
• Proven ability to implement, operate, and deliver results via innovation at large scale.
• Strong programming expertise in JVM‑based languages (Java, Scala) and Python.
• Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc.
• Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.

• Understanding of MLOps/ML Infra workflows, processes and ML components.
• Strong experience building and applying machine learning models for business applications.
• Working or academic knowledge with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large‑scale distributed Machine Learning technologies.
• Fantastic problem solver; ability to solve problems that the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

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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