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Staff Machine Learning Scientist

🕒 7 days ago
Machine LearningPythonStatistical AnalysisData Mining

📜 Description

  • Design, develop, and implement machine learning models and algorithms for AI features.
  • Propose and prototype new features utilizing generative models to solve customer problems.
  • Stay updated with advancements in machine learning and apply best practices.
  • Collaborate with ML engineers and product teams to bring innovations to life.
  • Solve complex problems using recent ML techniques like information retrieval and LLMs.
  • Mentor junior colleagues and set high standards for ML applications.

🛠️ Requirements

  • Proficient in Python programming and good code hygiene.
  • Solid understanding of statistical analysis, data mining, and predictive modeling.
  • Experience with supervised or unsupervised ML and statistical models.
  • Experience with LLMs is a plus.
  • Track record of building production-ready models.
  • Strong communication skills for conveying technical concepts.
  • Excellent planning and time management skills.
  • MSc or PhD in computer science, mathematics, physics, or related field is a plus.

Benefits

  • Flexible working hours.
Full job description

Join Zendesk as a Staff Machine Learning Scientist to develop innovative AI solutions that enhance customer service through cutting-edge machine learning technologies.

Description

  • Design, develop, and implement machine learning models and algorithms for AI features.
  • Propose and prototype new features utilizing generative models to solve customer problems.
  • Stay updated with advancements in machine learning and apply best practices.
  • Collaborate with ML engineers and product teams to bring innovations to life.
  • Solve complex problems using recent ML techniques like information retrieval and LLMs.
  • Mentor junior colleagues and set high standards for ML applications.

Requirements

  • Proficient in Python programming and good code hygiene.
  • Solid understanding of statistical analysis, data mining, and predictive modeling.
  • Experience with supervised or unsupervised ML and statistical models.
  • Experience with LLMs is a plus.
  • Track record of building production-ready models.
  • Strong communication skills for conveying technical concepts.
  • Excellent planning and time management skills.
  • MSc or PhD in computer science, mathematics, physics, or related field is a plus.

Benefits

  • Flexible working hours.

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