Salesforce Search Relevance ML Engineer/Data Scientist - Lead 

United States, California, San Francisco 

672347934

Job Category

Software Engineering

Job Details

Salesforce is looking for an outstanding engineer ideally with a dual background in Data Science, Machine Learning and software engineering.

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 aboutMachine 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

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Posting Statement

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