ML Engineer MTS/SMTS

Leading technology company providing AI, Data and CRM solutions to help companies connect with customers in innovative ways.
$150,000 - $250,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For ML Engineer MTS/SMTS

Salesforce is seeking Machine Learning Engineers to build generative AI services and components for Einstein GPT vision. This role combines full-stack development with AI/ML expertise, focusing on building scalable solutions used by millions. The position offers a hybrid work environment and emphasizes autonomous teams. You'll work on cutting-edge generative AI platforms, design scalable services, and collaborate with cross-functional teams. The role requires extensive experience in ML engineering, full-stack development, and modern distributed systems. You'll be responsible for building AI services that integrate with multiple applications, handle thousands of tenants, and operate at scale in production. The ideal candidate should have strong experience with LLMs, prompt engineering, and modern ML frameworks. This is an opportunity to shape the future of AI products while working in a collaborative environment that values innovation and personal growth. Salesforce offers comprehensive benefits and is committed to equality in the workplace.

Last updated 34 minutes ago

Responsibilities For ML Engineer MTS/SMTS

  • Design and deliver scalable generative AI services
  • Drive system efficiencies through automation
  • Participate in periodic on-call rotations
  • Partner with Product Managers, Architects, and researchers
  • Develop application code meeting acceptance criteria
  • Develop stories, data mappings, and test cases
  • Build and deploy code through approved channels
  • Create automated tests including unit, integration, and performance tests

Requirements For ML Engineer MTS/SMTS

Java
Python
Kubernetes
  • 3 years (MTS) & 8 years (SMTS) of ML engineering experience
  • Extensive full-stack engineering experience
  • Software engineering best practices knowledge
  • Java programming knowledge
  • GenAI, chatbot, or NLP experience
  • Experience with LLMs and prompt engineering
  • Python programming and ML frameworks experience
  • Experience with distributed systems and frameworks
  • Strong problem-solving and communication skills

Benefits For ML Engineer MTS/SMTS

Medical Insurance
Dental Insurance
Vision Insurance
  • Comprehensive benefits package
  • Equal Employment Opportunity
  • Inclusive workplace

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