Principal Machine Learning Engineer

November 25

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Attentive

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Marketing • SaaS • Artificial Intelligence

Attentive is a leading AI-powered SMS and email marketing platform that helps businesses engage with customers through effective personalized messaging. Its products and services are designed to boost customer loyalty and revenue by leveraging AI-driven tools for messaging deliverability, audience targeting, and analytics. Attentive offers seamless integrations with various marketing tools and provides unparalleled support to enhance customer success and compliance. The platform enables businesses to create top-performing campaigns quickly and dynamically build high-performance audiences. Attentive's expertise in data-driven solutions helps businesses optimize their marketing strategies across multiple industries, including retail, e-commerce, travel, and entertainment.

1001 - 5000 employees

Founded 2016

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• 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.

🏖️ Benefits

• You'll get competitive  perks and benefits, from health & wellness to equity, to help you bring your best self to work.