Senior Machine Learning Engineer, AI Research

Global leader in CRM and enterprise cloud solutions, pioneering AI research and development.
$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 Research is seeking exceptional Machine Learning Engineers to advance Agentforce's agent capabilities in a groundbreaking role at the intersection of AI research and enterprise solutions. This position offers an opportunity to work on cutting-edge 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 developing fully-autonomous agents, implementing sophisticated memory architectures, and enabling multi-agent interactions. The role involves creating state-of-the-art solutions that will transform how organizations leverage AI in their workflows, working directly with advanced language models and agent systems.

The position combines practical engineering with research innovation, requiring expertise in LLMs, prompt engineering, and system architecture. You'll work with a collaborative team of researchers and engineers in Salesforce's world-class research division, contributing to both fundamental research and practical applications that shape the future of enterprise AI.

This role offers competitive compensation ($172,000 - $236,500) and the opportunity to work in prime locations (Palo Alto or San Francisco). You'll be part of Salesforce's renowned research team, working on projects that directly impact the future of AI technology while solving real enterprise challenges.

The ideal candidate will bring together strong technical skills in Python, deep learning frameworks, and API development with a research mindset and the ability to translate complex AI concepts into practical solutions. This role represents a unique opportunity to shape the future of AI agents while working with one of the technology industry's most respected research teams.

Last updated 2 days ago

Responsibilities For Senior Machine Learning Engineer, AI Research

  • Develop agentic system infrastructure and components including planning and reasoning engines
  • Design and implement 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 models for agentic use cases
  • 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
  • Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Machine Learning, or related field
  • Strong expertise in LLMs and prompt engineering techniques
  • High proficiency in Python programming language
  • Experience in developing complex agentic systems using LLMs
  • Experience in REST-based API development
  • Experience in frontend development for system demonstration
  • Proficiency in Deep Learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers)

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