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Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com .

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🔥 Vice President, Machine Learning Engineering
Posted 2024-11-14

📍 United States of America

🧭 Full-Time

💸 220000 - 280000 USD per year

🔍 Life Sciences and Healthcare

  • Bachelor’s degree in Computer Science or related field (or equivalent applicable experience).
  • 8+ years of industry experience and 2+ years in engineering management.
  • Experience in delivering working ML/AI products.
  • Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is preferred.
  • Experience collaborating with cross-functional teams to achieve strategic goals.
  • Ability to take ownership of critical problems from start to finish.
  • Experience with current commercial LLMs like GPT-4.
  • Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
  • Experience designing software for the life sciences industry.

  • Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities across the Clarivate life sciences portfolio.
  • Assist in communicating AI investment and growth opportunities to the ELT, CEO, and potentially Board of Directors.
  • Formulate, communicate, and lead iteration of implementation approaches to achieve AI project goals.
  • Hire, lead and manage a diverse, high-performing engineering team to execute against these goals.
  • Work closely with product owners and biologists to understand workflows, constraints, business value, and opportunities.
  • Spend extensive time looking at data and contribute meaningful amounts of code and documentation.
  • Mentor and develop a team of junior engineers and data scientists.

LeadershipProject ManagementPythonSoftware DevelopmentArtificial IntelligenceData AnalysisData MiningMachine LearningPeople ManagementProduct ManagementProject CoordinationCross-functional Team LeadershipStrategyData analysisData miningCommunication SkillsAnalytical SkillsCollaborationProblem SolvingMentoringDocumentation

Posted 2024-11-14
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