Principal Software Engineer, Machine Learning

Attentive•San Francisco, CA

7d•$350,000 - $430,000•Remote

About The Position

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform. You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.

Requirements

10+ years experience is ideal
Worked professionally building systems for 10+ years with experience on a single system long enough to see the consequences of your decisions
Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools
Proficiency or experience with Python
Extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams
Proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research
Led cross-functional machine learning projects across teams

Nice To Haves

Enthusiastic about the high impact, fast-paced work environment of an late-stage startup

Responsibilities

Building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.
Operating with a high degree of ownership.
Partnering closely with Product and Engineering.
Helping to raise the technical bar across our ML systems in a fast-paced, high-impact environment.
Building systems that maintain a high bar of quality.
Taking proactive steps to protect against regressions through a variety of testing techniques.
Collaborating, leading technically, and communicating effectively.
Constantly improving the quality of the project, both via direct contributions and long-term advocacy for larger-scale changes.
Building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research.
Leading cross-functional machine learning projects across teams.