Senior Machine Learning Engineer - Private Search Quality (AU remote)

Added
13 hours ago
Type
Full time
Salary
Salary not provided

Related skills

elasticsearch ml opensearch vector search ranking
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๐Ÿ“‹ Description

  • Build, evaluate, and improve ML ranking models for private, team, and brand content search
  • Drive relevance and recall improvements for enterprise users
  • Work on intelligent result understanding, search recovery, and exact title match
  • Contribute to indexing with ElasticSearch/OpenSearch, Vector search, and annotation
  • Extend private and brand search quality into new surfaces like agent search
  • Investigate and resolve quality or relevance regressions in production search

๐ŸŽฏ Requirements

  • Hands-on experience building and shipping ML systems in production (search, ranking, LTR or
  • Ability to define and move metrics that matter (relevance, recall, ranking quality)
  • End-to-end ownership from idea to shipped impact with minimal guidance
  • Autonomous, comfortable with ambiguity as search surfaces evolve
  • Strong collaboration with Backend/Infra teams and non-technical stakeholders

๐ŸŽ Benefits

  • Equity packages
  • Inclusive parental leave policy
  • Annual wellbeing & Thrive allowance
  • Flexible leave options
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