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Engineering Manager, Machine Learning - Remote

Posted 22 weeks ago
Software Development
Full Time
United States

Overview

As the Engineering Manager of our Machine Learning team, you will have the critical leadership role of enabling excellence, productivity, and growth within Apollo's engineering organization.

In Short

  • Lead the development of Machine Learning products.
  • Define, set, and adhere to goals and expectations.
  • Drive a culture around excellence, learning, and fun.
  • Work closely with key stakeholders to deliver high-quality products.
  • Participate in key technical decision-making discussions.
  • Help build and scale a world-class engineering team.
  • Conduct systematic weekly 1:1 touch points with engineers.
  • Develop and execute on personalized goals.
  • Conduct objective quarterly performance reviews.
  • Mentor and support team members.

Requirements

  • 3-5 years' experience in people management.
  • 6+ years of experience building Machine Learning or AI systems.
  • Experience deploying and managing machine learning models in the cloud.
  • Strong analytical and problem-solving skills.
  • Proven software engineering skills in production environment, primarily using Python.
  • Experience with Machine Learning software tools and libraries.
  • Experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow.
  • Experience with Large Language Models or similar technologies.
  • Experience with natural language processing, deep learning, recommendation systems, and speech-to-text conversion.

Benefits

  • Great compensation package.
  • Culture that thrives in openness and excellence.
  • Investment in remote employees' career development.
  • Collaborative team environment.
  • Support for experimentation and taking educated risks.
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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