Software Engineering - Search and Knowledge Graph

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

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. 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.

The Team

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.

The Role

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.

What You’ll Do

• 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.

Required Skills

• 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.

Preferred Skills

• 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.

Additional Attributes:

• 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.

If you’re passionate about building cutting edge AI solutions and contributing to ground-breaking Search and Knowledge Graph systems at the world’s #1 CRM company, we’d love to meet you!

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For Washington-based roles, the base salary hiring range for this position is $125,700 to $216,700.

For California-based roles, the base salary hiring range for this position is $137,100 to $236,500.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.