Senior Machine Learning Engineer

Summary

Join Apollo.io, a leading go-to-market solution trusted by over 500,000 companies, as a Senior Machine Learning Engineer. You will build and productionize ML models and algorithms for various Apollo products, leveraging massive data to understand and predict user behavior. The Intelligence team's mission is to optimize user experience throughout their product journey. This remote-first role requires strong ML system design, deployment, and improvement skills. You will collaborate with stakeholders, develop data pipelines, and implement automated monitoring. Apollo offers a great compensation package, a supportive remote culture, and opportunities for career development.

Requirements

• Bachelors, Masters, or a PhD in Computer Science, Mathematics, Statistics, or other quantitative fields or related work experience
• 6+ 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

• Great compensation package
• Remote work
• Career development opportunities