Attentive® is the AI-powered SMS and email marketing platform that delivers unparalleled messaging performance on the channels that matter most. Infusing intelligence at every stage of the consumer's purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leveraging AI-powered tools, a mobile-first approach, two-way conversations, and enterprise-grade technology, Attentive drives billions in online revenue for brands around the globe. Trusted by over 8,000 leading brands such as CB2, Urban Outfitters, GUESS, Dickey’s Barbeque Pit, and Wyndham Resort, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love.
Attentive’s growth has been recognized by , and all thanks to the hard work from our global employees!
Who we areOur engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, machine learning, and security. We believe our company will win in the long run through product innovation. To get there, we obsess over iteratively delivering customer value through rapid prototyping and data-driven decision-making. 
We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. As an early hire, you will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases. Why Attentive needs youYou have a proven track record of building systems that maintain a high bar of qualityYou deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniquesYou are a collaborator, technical leader, and a great communicatorYou are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changesYou are enthusiastic about the high impact, fast-paced work environment of an late-stage startupAbout youYou have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisionsExperience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar toolsYou have proficiency or experience with PythonYou have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teamsYou have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern researchOur scale8,000 brands powered by Attentive sent over 2.2 billion text messages over Cyber Week 2023 (Black Friday/Cyber Monday) representing a growth of 31% from 2022We sent 32 billion SMS messages in 2023, up 32% YoY. That’s an average of 87 million per dayOur production cluster contains over 18,000 containers which serve 200+ servicesOur streaming services process over 80 billion events per monthWhat we useOur infrastructure runs primarily in Kubernetes hosted in AWS’s EKSInfrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and HelmOur backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWSOur frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace