✨ About The Role
- The Senior Machine Learning Engineer will be responsible for building and productionizing machine learning models for various Apollo products.
- This role involves designing, building, evaluating, deploying, and iterating on scalable machine learning systems.
- The engineer will work on personalizing user experiences by leveraging Apollo's massive scale data.
- Responsibilities include developing and maintaining scalable data pipelines that power algorithms and implementing automated monitoring features.
- The position requires evaluating the performance of machine learning systems and continuously improving the machine learning stack at Apollo.
âš¡ Requirements
- The ideal candidate will have a strong background in building and deploying machine learning systems, with at least 8 years of relevant experience.
- A bachelor's, master's, or PhD in Computer Science, Mathematics, Statistics, or a related field is essential for this role.
- The successful candidate will possess excellent communication skills, enabling them to collaborate effectively with stakeholders.
- They should be self-motivated and able to work independently while also being inquisitive and eager to learn.
- Strong analytical and problem-solving skills are crucial for evaluating machine learning systems against business objectives.