Machine Learning Innovator
1 day ago
About the Role
We're seeking a seasoned Machine Learning Solutions Engineer to join our Einstein Foundation team and contribute to the development of next-gen Generative AI platforms. The ideal candidate will have extensive experience with large-scale search, Machine Learning, and knowledge driven systems, specifically focused on integrating Knowledge Graphs, search optimization, and sophisticated retrieval techniques.
The successful candidate will be responsible for architecting and implementing end-to-end, large scale search and retrieval solutions that demonstrate Knowledge Graphs and are optimized for high-performance, multi-tenant environments. They will also innovate hybrid retrieval pipelines, optimize and automate search systems, and collaborate with multi-functional teams to deliver groundbreaking AI experiences.
This role is pivotal in redefining how we enable innovative, knowledge driven experiences across Salesforce's next-gen AI products. As an authority in Search, Knowledge Graphs, and Large Language Models (LLMs), the successful candidate will drive the evolution of Salesforce's AI systems with innovative retrieval, representation, and context expansion technologies that serve millions of users globally.
Key Requirements
- 15+ years in Machine Learning & Search Systems
- Expertise in Semantic and Vector-Based Search
- Strong Background in NLP & LLMs
- Sophisticated Knowledge Graph Skills
- Proficiency in Distributed Systems & ML Frameworks
- Programming Mastery in Python & Graph Based Frameworks
Our Benefits
We offer a competitive compensation package, including a base salary of $244,500 - $372,900 per year, depending on location and level of experience. Additional benefits include comprehensive health insurance, retirement savings plan, paid time off, and opportunities for professional growth and development.
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