Senior Machine Learning Engineer II

Summary

Join Apollo.io as a Senior Machine Learning Engineer and contribute to building and productionizing ML models for various products, including Search, Recommendations, and Content Generation. You will leverage Apollo's massive data to understand and predict user behavior, optimizing their experience. This permanent, remote-first role requires 8+ years of experience in building ML/AI systems, deploying models in the cloud, and proficiency in Python. The ideal candidate possesses strong analytical and problem-solving skills, experience with LLMs and prompt engineering, and a passion for continuous improvement. Apollo offers a collaborative environment, investment in employee growth, and opportunities to make a significant impact.

Requirements

• Bachelors, Masters, or a PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
• 8+ years of experience building Machine Learning or AI systems
• Experience deploying and managing machine learning models in the cloud
• Experience working with fine tuning LLMs and prompt engineering
• 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

• Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
• Understand the Machine Learning stack at Apollo and continuously improve it
• Build systems that help Apollo personalize their users’ experience
• Evaluate the performance of machine learning systems against business objectives
• Develop and maintain scalable data pipelines that power our algorithms
• Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
• Write unit/integration tests and contribute to engineering wiki

Preferred Qualifications

• PhD in Computer Science or related field with a focus on machine learning
• Experience with Databricks, Google Cloud Platform, Snowflake, mlflow, and Airflow
• Experience with one or more of the following: natural language processing, deep learning, recommendation systems, search relevance & ranking, and speech-to-text conversion

Benefits

• Remote work, flexible hours
• Professional development opportunities