Apollo.io is hiring a
Machine Learning Engineer

closed
Logo of Apollo.io

Apollo.io

πŸ’΅ ~$75k-$111k
πŸ“Remote - India

Summary

The job is for a Machine Learning SME at Apollo.io, a rapidly growing B2B sales and marketing solution trusted by over 500,000 companies globally. The role involves tech leading initiatives in Data Science and ML, mentoring junior engineers, improving processes, contributing to hiring, and more.

Requirements

  • Bachelors or Masters in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
  • 5+ 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 (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

Responsibilities

  • Is an SME in Machine Learning
  • Tech leads initiatives for Data Science and ML: task breakdown, project design, delegation, and review
  • Produce 'clean' and well-structured code, with detailed specifications
  • Mentors junior engineers
  • Improves foundational processes and promotes best practices
  • Contributes to the hiring and interview process

Preferred Qualifications

  • Experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow
  • Experience with Large Language Models (LLMs) or similar technologies
  • Experience with one or more of the following: natural language processing, deep learning, recommendation systems, search relevance & ranking, and speech-to-text conversion

Benefits

  • Great compensation package
  • Culture that thrives in openness and excellence
  • Investment in developing remote employees’ careers
  • Empowered to own your role as a proactive educator
  • Collaborative environment, able to lean on teammates in adjacent departments
  • Encouraged to experiment and take educated risks that lead to big wins
This job is filled or no longer available