We are looking for a Search Relevance Lead Engineer to join our Talent Search team.  This team is responsible for implementing and maintaining the core talent search, match services and related user interfaces utilized by all DHI brands. We are driven to find creative and innovative solutions to difficult engineering problems that deliver value to our business and positive experiences for our users. We work in a hybrid stack including C#, Java, PHP, and Python with heavy use of ElasticSearch.  We are believers in using the right tool for the job and are always open to alternative technologies where it makes sense.  We have embraced AWS so experience building cloud-ready services is a needed. To enable this a good grasp of software craftsmanship and a passion for learning new things are a must.

Essential Duties/Responsibilities

• Develop our understanding of a user’s search journey as a conversation
• Analyze and model the complex search interactions our users have with all DHI brands
• Perform relevance tuning operations generally and specifically:
  • Develop search relevance tests and conduct user search query analysis
  • Perform signal modeling to optimize ranking function
  • Perform query matching analysis to debug issues with query parsing or matching strategies
• Participate in application design, development, automated testing, performance analysis, and deployment
• Perform code reviews to create more efficient, reusable and testable code
• Help set the engineering direction of the product
• Communicate project status to team members and business users
• Work with Product Development to understand and solve business issues
• Set a solid technical example, mentoring of less experienced team members.

Job Qualifications

• Understanding of search architectures, information retrieval concepts and learning to rank concepts
• Understanding of machine learning algorithms and distributed systems
• Strong verbal and written communication skills.
• Effective time management skills.
• Demonstrable open-source work and contributions preferred
• You take pride in being a true software craftsman and have a passion for technology

Required Education and/or Experience

• Industry experience developing and releasing machine learning algorithms or systems for NLP, classification, regression or clustering applications.
• Industry experience optimizing search ranking and relevance functions.
• Experience with big data / machine learning tools and frameworks such as Python, Tensorflow, Keras, Spark, Hadoop, or MapReduce
• Experience with search technologies including SOLR, ElasticSearch and Lucene desired including setup, configuration, relevance tuning
• Experience with AWS (DynamoDB, Lambda, API Gateway) preferred
• Experience with infrastructure tools such as Docker, Terraform, CloudFormation, Puppet a plus
• Experience with CI/CD tools (Jenkins, Automated Testing, etc) preferred
• Bachelor’s degree in Computer Science, MIS or a related field
• Experience developing within an Agile environment preferred
• Seven or more years’ experience with analyzing, designing, coding, building, testing, and deploying application systems in a business environment
• 2 – 4 years as a technical lead or architect