Senior Machine Learning Engineer II

Summary

Join Apollo.io as a Senior Machine Learning Engineer and contribute to building and productionizing machine learning models for various products. You will leverage Apollo's massive data to understand and predict user behavior, optimizing their experience. Responsibilities include designing, building, deploying, and iterating on scalable ML systems, improving the ML stack, personalizing user experiences, and developing data pipelines. The ideal candidate possesses a Bachelor's, Master's, or PhD in a quantitative field, 8+ years of experience building ML systems, and experience deploying models in the cloud. Preferred qualifications include a PhD in a related field and experience with specific tools and technologies. Apollo offers a remote-first, inclusive work environment with opportunities for growth and collaboration.

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