Apollo.io is hiring a
Senior Machine Learning Engineer

Logo of Apollo.io

Apollo.io

πŸ’΅ ~$140k-$275k
πŸ“Remote - India

Summary

Join Apollo.io as a Senior Machine Learning Engineer on the Intelligence team and contribute to building and productionizing Machine Learning models for various products. As a key member of the team, you will design, build, evaluate, deploy, and iterate on scalable Machine Learning systems, understand the Machine Learning stack at Apollo, and continuously improve it.

Requirements

  • Bachelors, Masters, or a PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
  • 6+ years of experience building Machine Learning or AI systems
  • Experience deploying and managing machine learning models in the cloud
  • Experience working with fine tuning LLMs and prompt engineering
  • Strong analytical and problem-solving skills
  • Proven software engineering skills in production environment, primarily using Python
  • Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

Responsibilities

  • Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
  • Understand the Machine Learning stack at Apollo and continuously improve it
  • Build systems that help Apollo personalize their users’ experience
  • Evaluate the performance of machine learning systems against business objectives
  • Develop and maintain scalable data pipelines that power our algorithms
  • Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
  • Write unit/integration tests and contribute to engineering wiki

Preferred Qualifications

  • PhD in Computer Science or related field with a focus on machine learning
  • Experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow
  • Experience with one or more of the following: natural language processing, deep learning, recommendation systems, search relevance & ranking, and speech-to-text conversion

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