Software Engineering, Salesforce

Search and Knowledge Graph

$137.1-236.5k

Python
Tensorflow
PyTorch
Semantic
Senior and Expert level
San Francisco Bay Area
Salesforce

World's leading CRM provider

Be an early applicant

Salesforce

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Be an early applicant

$137.1-236.5k

Python
Tensorflow
PyTorch
Semantic
Senior and Expert level
San Francisco Bay Area

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Company mission

To empower companies to connect with their customers in a whole new way.

Role

Who you are

  • Salesforce is seeking a skilled and innovative Senior Member of Technical Staff to contribute to intelligent Search and Knowledge Graph solutions within our Einstein Foundation team
  • 5+ Years in Machine Learning & Search Systems
  • Strong experience with search optimization, Knowledge Graphs, and innovative retrieval techniques
  • Proficiency in Semantic and Vector-Based Search
  • Experience with vector databases (e.g., FAISS, Pinecone, Milvus) and ANN search algorithms to deliver high-relevance results
  • Hands-on NLP & LLMs Expertise
  • Practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications
  • Experience with Knowledge Graphs
  • Hands-on experience with graph databases (e.g., Neo4j, Amazon Neptune) and graph embedding techniques to enhance retrieval
  • Strong Programming and ML Framework Skills
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch) for developing scalable AI systems
  • Broad experience in diverse ML techniques, adaptable for Search and Knowledge Graph use cases
  • Strong collaboration skills with the ability to work across engineering, research, and product teams

Desirable

  • Experience with Retrieval Pipelines
  • Hands-on experience in building multi-stage retrieval workflows balancing precision and recall
  • Expertise in Retrieval Optimization
  • Familiarity with re-ranking, hybrid search, and knowledge augmented retrieval techniques
  • Graph Embedding & Contextual Search
  • Experience in implementing graph-based search and context expansion methods for deep, accurate retrieval
  • Knowledge Graph Curation & Management
  • Knowledge of schema design, ontology management, and Knowledge Graph curation
  • Feedback Loops and Fine-Tuning
  • Experience incorporating user feedback and relevance signals for continuous improvement

What the job involves

  • Are you excited to build the next-gen Generative AI platforms that empower enterprise-wide knowledge discovery, enhance AI with knowledge driven context, and enable human-like understanding of relationships through Knowledge Graphs?
  • As the world’s #1 AI CRM, Salesforce has introduced Agentforce, a groundbreaking suite of autonomous AI agents that transform how we achieve efficiency and customer satisfaction across service, sales, marketing, and commerce
  • This role focuses on hands-on development and driving technical epics to deliver ground-breaking AI driven experiences for millions of users globally
  • Our Einstein Foundation team is a multidisciplinary group of machine learning engineers, data scientists, and software developers dedicated to creating adaptive, context-aware systems that redefine customer interactions
  • We value creativity, collaboration, and a commitment to delivering scalable AI driven solutions for customer success
  • You will actively contribute to the design and development of intelligent Search and Knowledge Graph solutions, integrating innovative machine learning, LLMs, and vector databases
  • You’ll lead technical epics, work hands-on with the development team, and ensure the scalability and reliability of our solutions. Collaborating with Product Managers, Data Scientists, and Research teams, you’ll help shape the future of Salesforce’s AI experiences
  • Develop Sophisticated Search & Knowledge Graph Solutions
  • Work on building and optimizing high-performance search and retrieval solutions demonstrating Knowledge Graphs for enterprise-scale environments
  • Contribute to Intelligent Retrieval Pipelines
  • Implement hybrid retrieval pipelines combining semantic, vector, and symbolic search to enhance relevance, speed, and accuracy
  • Optimize and Automate Systems
  • Participate in automating capacity planning, configuration, and supervising to drive real-time optimization
  • Lead Technical Epics
  • Take ownership of key technical epics, ensuring alignment across teams and timely delivery of high-quality solutions
  • Collaborate Across Teams
  • Work closely with Product Managers, ML Engineers, and Knowledge Graph experts to deliver scalable, impactful AI driven solutions
  • Drive Innovation in Search and Knowledge Graphs
  • Stay updated on emerging technologies, contributing to discussions and experimentation with vector search, graph embeddings, and knowledge-augmented retrieval

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Insights

Top investors

Few candidates hear
back within 2 weeks

-8% employee growth in 12 months

Company

Company benefits

  • With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

Funding (last 2 of 4 rounds)

Jun 2001

$46.9m

SERIES D

Nov 1999

$13.2m

SERIES C

Total funding: $64.5m

Our take

Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.

By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.

Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.

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Steph

Company Specialist at Welcome to the Jungle