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Principal Data Scientist - Search AI - Remote

Posted 1 week ago
Data Analysis
Full Time
Canada
$154,000 - $243,600 CAD/year

Overview

As a Principal Data Scientist at Elastic, you will be responsible for developing and integrating statistical tools and machine learning models to enhance our AI/ML driven Search experiences.

In Short

  • Lead innovation in AI/ML driven Search solutions.
  • Develop and prototype models for semantic search and query understanding.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Explore and benchmark open source and proprietary models.
  • Engage with NLP and information retrieval communities.
  • Experiment with Generative AI use cases.
  • Maintain up-to-date knowledge of advancements in NLP.
  • Promote knowledge sharing in a distributed team.
  • Drive research and development for ranking flexibility.
  • Develop tooling for end-to-end RAG systems.

Requirements

  • 8+ years of experience in NLP production use cases.
  • 8+ years of professional software development experience in Python.
  • Experience in Generative AI and information retrieval.
  • Familiarity with libraries like PyTorch and Pandas.
  • Experience with Jupyter for prototyping.
  • Expertise in AI/ML quality evaluation.
  • Self-motivated and collaborative style.
  • Strong attention to detail and organization.
  • Passion for data analysis.
  • Experience with Elasticsearch is a plus.

Benefits

  • Competitive pay based on work performance.
  • Health coverage for employees and families.
  • Flexible working locations and schedules.
  • Generous vacation days.
  • Financial donation matching program.
  • Volunteer hours for community projects.
  • Parental leave of at least 16 weeks.
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Referral Board

Referral Board is an innovative technology company focused on leveraging generative AI and cloud infrastructure to enhance organizational capabilities. With a commitment to building resilient and scalable cloud-native solutions, Referral Board's Elastic IT team is dedicated to driving AI initiatives and operational excellence. The company fosters a collaborative and diverse work environment, encouraging engineers to contribute to cutting-edge projects in a highly-distributed team setting. By prioritizing advanced DevOps practices and infrastructure automation, Referral Board aims to be at the forefront of AI strategy and implementation.

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