Machine Learning Engineer

Summary

Join Apollo.io, a leading go-to-market solution trusted by over 500,000 companies globally, as we continue our rapid growth. We are seeking a world-class Machine Learning SME to tech lead Data Science and ML initiatives. You will produce high-quality, production-ready code, mentor junior engineers, and improve foundational processes. The ideal candidate possesses strong analytical and problem-solving skills, extensive experience building ML systems, and proven software engineering expertise in Python. Apollo offers a competitive compensation package, a supportive remote work environment, and opportunities for career development.

Requirements

• Bachelor's or Master's degree 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 a production environment, primarily using Python
• Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

Responsibilities

• Be a Subject Matter Expert (SME) in Machine Learning
• Tech lead initiatives for Data Science and ML: task breakdown, project design, delegation, and review
• Produce "clean" and well-structured code, with detailed specifications. This means that your code is well-designed, simple, readable properly documented, well-tested, and is production ready
• Mentor junior engineers
• Improve foundational processes and promote best practices
• Contribute 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
• Investment in developing remote employees’ careers
• Remote work environment