Principal Machine Learning Engineer

Attentive is an AI marketing platform that specializes in 1:1 personalization to connect brands and customers. They are seeking a Principal Machine Learning Engineer to define the technical vision for machine learning systems, build production-grade ML systems, and lead cross-functional initiatives to enhance ML-powered features.

Responsibilities:

• Define the long-term technical vision for machine learning systems at Attentive, setting the standard for quality, scalability, and innovation
• Architect and build production-grade ML systems that deliver personalization at scale and in real time
• Lead cross-functional initiatives across ML, data, and engineering teams to accelerate the deployment and reliability of ML-powered features
• Proactively safeguard model and system quality by implementing rigorous testing, monitoring, and validation pipeline
• Champion best practices in ML development, driving improvements to model performance, system resilience, and engineering efficiency
• Act as a mentor and thought leader - guiding engineers, influencing architecture decisions, and advocating for long-term technical excellence
• Thrive in a high-impact, fast-paced environment, influencing both technical direction and product outcomes

Requirements:

• Proven experience building and maintaining large-scale ML systems in production environments
• Deep proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, and xgboost
• Strong background with data processing and analytics tools including pandas, Spark, SQL, and matplotlib
• Expertise in designing scalable, automated pipelines for data processing, model training, validation, and deployment
• Experience leading cross-functional ML projects, collaborating with engineering, product, and analytics teams
• Strong communication and leadership skills with the ability to influence technical direction across teams