Description
Salesforce is looking for an outstanding engineer ideally with a dual background in Data Science, Machine Learning and software engineering.
As part of the Search Relevance team, you will work on relevance features that drive the richness, quality and effectiveness of the search experience across all of Salesforce’s products.
You will be embedded in a multi-functional team of versatile technologists who all share a passion for building data-driven, well-designed and well-tested products and systems.
The role requires a strong team collaborator who is comfortable working closely with product and engineering using Agile principles.
Responsibilities
- Design, develop, bring to production at a large scale and support “intelligence” features on an outstanding search service that serves millions of requests daily on a diverse corpus of data including structured, unstructured and social feeds.
- Design and operationalize usage metrics and patterns to find opportunities to improve relevancy of search.
- Analyze and understand the different products, devices and use cases that are driven by search across salesforce and develop strategies for improving relevancy.
- Deploy models at scale and assess impact from A/B testing (including interpretation of results).
- Develop new relevance features and techniques build upon the latest results from the research community.
Required Skills
- At least 8 years of hands-on experience in engineering positions passionate about Machine Learning, Information Retrieval, Recommendation systems, Personalization (p13n), Natural Language Processing, Learning to Rank, RAG
- Experience with AI frameworks like Tensorflow, Pytorch
- Understanding how to measure and quantify the quality of search relevance systems
- Experience deploying and managing AI solutions on cloud platforms such as AWS SageMaker and Amazon Bedrock
- Experience building applications with Large Language model and ability to fine tune them for enterprise scale.
- Strong programming skills in Python and Java.
- Strong understanding of Object Oriented design, advanced algorithms, data structures, etc.
- Iteratively analyzing data, integrating new data sources, experimenting and optimizing.
- Excellent oral and written communication skills
Desired Skills
- Master’s or PhD in a relevant field and/or experience in any of the following is highly regarded: Machine learning, data science and modeling techniques including classification, regression and Bayesian analysis.
- Experience with Lucene/Solr or similar search systems preferable
- Experience working with large datasets, preferably using tools like Hadoop, Spark, Pig or Hive.
- Good understanding of usability and visual design principles
- Understanding of A/B testing, expertise in metric definition and analysis
- Experience building Software as a Service (SaaS) applications
- Experience with Agile software development and Test Driven Development methodologies
Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. The company was founded on three innovative ideas: a new technology model in cloud computing, a pay-as-you-go business model, and a new integrated corporate philanthropy model. These founding principles have taken our company to extraordinary heights, including being named one of Forbes’s “World’s Most Innovative Company” five years in a row and one of Fortune’s “100 Best Companies to Work For” eight years in a row. We are the fastest growing of the top 10 enterprise software companies, and this level of growth equals incredible opportunities to grow a career at Salesforce. Together, with our whole Ohana (Hawaiian for "family") made up of our employees, customers, partners and communities, we are working to improve the state of the world.
For roles in San Francisco and Los Angeles: 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.
