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Vice President, Machine Learning Engineering

Posted 2024-11-14

View full description

💎 Seniority level: Vp, 8+ years industry experience and 2+ years in engineering management

📍 Location: United States of America

💸 Salary: 220000 - 280000 USD per year

🔍 Industry: Life Sciences and Healthcare

🏢 Company: Clarivate_Careers

⏳ Experience: 8+ years industry experience and 2+ years in engineering management

🪄 Skills: LeadershipPythonSoftware DevelopmentArtificial IntelligenceData AnalysisData MiningGitKerasMachine LearningNumpyProduct ManagementPyTorchSoftware ArchitectureCross-functional Team LeadershipStrategyAlgorithmsData analysisData miningData scienceGoREST APIPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingRESTful APIsMentoring

Requirements:
  • Bachelor’s degree in Computer Science or related field (or equivalent applicable experience).
  • 8+ years 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 a plus.
  • Experience collaborating with cross-functional teams to achieve strategic goals.
  • Strong understanding of machine learning algorithms, data preprocessing, and model evaluation.
  • Experience designing software for the life science industry.
Responsibilities:
  • 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.
  • Work closely with product owners and biologists to understand workflows and business value.
  • Spend extensive time reviewing data.
  • Contribute code and/or documentation.
  • Mentor and develop junior engineers and data scientists.
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  • Work with individual product owners and biologists to understand workflows and business value.
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  • 8+ years of industry experience with 2+ years in engineering management.
  • Experience in delivering working ML/AI products is preferred.
  • Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is a plus.
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Posted 2024-11-14
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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

🏢 Company: jobs

  • Bachelor’s degree in Computer Science or related field (or equivalent experience).
  • 8+ years of industry experience and 2+ years in engineering management.
  • Past experience in delivering working ML/AI products.
  • Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related field is a plus.
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  • Experience designing software for the life sciences industry.

  • Work with the SVP of AI Product Transformation to identify AI implementation opportunities.
  • Communicate AI investment and growth opportunities to stakeholders.
  • Lead iteration of implementation approaches to meet AI project goals.
  • Hire and manage a diverse engineering team.
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  • Analyze data and contribute code or documentation.
  • Mentor and develop junior engineers and data scientists.

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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

🏢 Company: Clarivate_Careers

  • 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 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 end-to-end.
  • Ability to build understanding of life sciences processes and product needs.
  • 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 science industry.

  • Work with the SVP of AI Product Transformation to identify highest leverage AI implementation opportunities.
  • 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 analyzing data.
  • Contribute meaningful amounts of code and/or documentation.
  • Mentor and develop a team of junior engineers and data scientists.

LeadershipPythonSoftware DevelopmentArtificial IntelligenceData AnalysisData MiningKerasMachine LearningNumpyPeople ManagementProduct ManagementPyTorchSoftware ArchitectureCross-functional Team LeadershipStrategyAlgorithmsData analysisData miningData scienceGoREST APITensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingRESTful APIsMentoringAttention to detailDocumentationCoaching

Posted 2024-11-14
Apply