Senior Machine Learning Engineer, AI Research

A leading enterprise software company specializing in customer relationship management and cloud-based enterprise solutions.
$172,000 - $236,500
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Machine Learning Engineer, AI Research

Salesforce is seeking exceptional Machine Learning Engineers to advance Agentforce's agent capabilities. This role focuses on developing fully-autonomous agents with planning, reasoning, and verifiable action execution capabilities. As a Senior Machine Learning Engineer in the AI Research team, you'll be at the forefront of innovation, working on state-of-the-art solutions that transform how organizations leverage AI in their workflows.

The role involves developing complex agentic system infrastructure, including planning and reasoning engines, tool use, computer use and code execution environments, memory architecture, and multi-agent orchestration layer. You'll be responsible for designing and implementing robust APIs, creating visualization interfaces, and optimizing LLM performance through advanced prompt engineering techniques.

Your work will directly impact the development of AI-driven solutions for internal incubators, requiring collaboration with cross-functional teams including researchers, product managers, engineers, and designers. The position offers an opportunity to work with cutting-edge LLM technologies and shape the future of enterprise AI applications.

The ideal candidate should have strong expertise in LLMs/MLMs, Python programming, and experience with modern deep learning frameworks. This role provides an exciting opportunity to work on revolutionary AI technology while solving real enterprise challenges at one of the world's leading enterprise software companies.

Last updated 16 days ago

Responsibilities For Senior Machine Learning Engineer, AI Research

  • Develop agentic system infrastructure and components
  • Design, implement, and tune robust APIs and API framework-related features
  • Create visualization interfaces for system demonstration
  • Design and experiment with creative prompts to optimize LLM performance
  • Finetune AI model for agentic use case
  • Develop metrics and tools to evaluate model performance
  • Deploy LLM models into production systems
  • Collaborate with researchers, product managers, engineers, and designers

Requirements For Senior Machine Learning Engineer, AI Research

Python
Java
  • Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Machine Learning, or related field
  • Strong expertise in LLMs/MLMs (GPT, Gemini, Claude, Llama, Mistral, Qwen, Deepseek, etc.)
  • High proficiency in Python programming language
  • Experience in developing complex agentic systems using LLMs
  • Experience in REST-based API development
  • Experience in frontend development
  • Proficiency in Deep Learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers)

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