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Machine Learning Engineer

Synergetic RG
Closing date
14 Jun 2021

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Technology & New Media
Contract Type
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Job Details

Cambridge/remote options - Permanent

We're working with an industry heavyweight to find a Senior Machine Learning Engineer, who can build the next generation state-of-the-art search relevance ML. Ideal candidates should have strong expertise and industry experience in one or more of these areas: search ranking ML, auto-complete models, personalized embedding-based retrieval, query understanding, recommendation systems.

What you'll be doing

  • You will productionalize Search relevance ML models end-to-end starting from data pipelines, model building, model serving, running A/B, and making data-driven optimizations to the models.
  • You will be a key stakeholder in defining relevance roadmap improvements
  • You will research and prototype state-of-the-art models, A/B test, and launch search relevance improvements in production by making data-driven decisions.

Ideally, you'll have

  • 5+ years of experience applying Machine Learning to concrete problems,at large-scale.
  • Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep
  • Expertise in Engineering and CS fundamentals. Should be able to write an algorithm with ease.
  • Proven work on large-scale search/information retrieval relevance systems.
  • Familiar and comfortable with cloud deployments (AWS preferred)
  • Learning, Tree-Based Models, understanding of NLP approaches like W2V or Bert.
  • Should be able to identify the right KPIs and objective functions.
  • MS/Ph.D. Computer Science or related (AI/ML preferred)
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