• 3-5 years' experience in people management, preferably leading senior engineers and staff engineers
• 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 (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.) Preferred:
• 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
• You love scaling up through well-written documents and well-defined processes. As a remote first company, documentation is critical to our hyper-growth and success
• You are compassionate, put people first as a mentor, and are tactful with both accepting and delivering criticism to others
• You have the leadership skills to think and execute strategically but are not afraid to get your hands dirty when needed
• Your technical understanding of engineering systems, especially related to data, is second to none
• You can relate to and admire Apollo’s values of Ownership, Integrity, Curiosity, Excellence, Teamwork, and Fun

Desirable

• Help the team define, set, and adhere to goals and expectations
• Drive a culture around excellence, learning, and fun
• Critically observe and improve development and management processes within Apollo engineering
• Work closely with key stakeholders such as the CTO, Product Managers, and Designers to deliver high quality software at a rapid pace for an ever-increasing user base
• Change, and be a part of key decision-making processes within the engineering organization
• Participation in key technical decision-making discussions such as sprint planning, software design, and occasionally code reviews
• Help build and scale a world-class engineering team by sourcing and hiring candidates
• Hold systematic weekly 1:1 touch points with engineers to deliver and receive quality feedback
• Work with engineers to develop and execute on personalized goals
• Conduct objective and helpful quarterly performance reviews for engineers