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Senior Machine Learning Engineer - Remote

Posted 6 days ago
Software Development
Full Time
Worldwide

Overview

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally. As a Senior Machine Learning Engineer, you will build and productionize Machine Learning models to enhance user experience.

In Short

  • Design and build scalable Machine Learning systems.
  • Evaluate and improve the Machine Learning stack.
  • Personalize user experiences through ML systems.
  • Develop and maintain data pipelines for algorithms.
  • Implement automated monitoring and alerting features.
  • Write unit and integration tests.
  • Collaborate with stakeholders to define business questions.
  • Work with junior engineers to resolve ambiguous problems.
  • Document processes for knowledge sharing.
  • Ensure integrity and attention to detail in work.

Requirements

  • Bachelor's, Master's, or PhD in Computer Science or related field.
  • 8+ years of experience in Machine Learning or AI systems.
  • Experience with cloud deployment of ML models.
  • Strong analytical and problem-solving skills.
  • Proficiency in Python programming.
  • Familiarity with ML tools and libraries.

Benefits

  • Remote-first work environment.
  • Opportunities for professional growth.
  • Supportive team culture.
  • Encouragement for bold ideas and experimentation.
  • Focus on collaboration across departments.
Apollo.io logo

Apollo.io

Apollo.io is a dynamic startup focused on providing a world-class onboarding experience for self-service customers in small to medium-sized businesses (SMBs). The company aims to empower new users to effectively utilize its platform within the first 90 days, ensuring they achieve a return on investment. As a collaborative and innovative organization, Apollo.io values the contributions of its Product Specialist team, which plays a crucial role in teaching customers about the product, creating training materials, and continuously improving the onboarding process through shared learnings and feedback.

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