Software Engineering SMTS - AI Cloud

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Software Engineering

Job Details

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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Roles And Responsibilities

• 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.

Required Skills Desired Skills and Experience:

• 4+ years of industry experience of ML engineering in building AI systems and/or services.
• Experience designing and building distributed microservices 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.
• 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.

Preferred Skills

• 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.
• 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.

Team Description Einstein products & platform democratizes AI and transforms the way our Salesforce Ohana builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.

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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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