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 you
You have a proven track record of building systems that maintain a high bar of quality
You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques
You are a collaborator, technical leader, and a great communicator
You 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 changes
You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup
About you
You have worked professionally building systems for 3+ 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
You have proficiency or experience with Python
You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams
You 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 research
Our scale
8,000 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 2022
We sent 32 billion SMS messages in 2023, up 32% YoY. That’s an average of 87 million per day
Our production cluster contains over 18,000 containers which serve 200+ services
Our streaming services process over 80 billion events per month
What we use
Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKSInfrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS
Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants:- The US base salary range for this full-time position is $200,000 to $290,000 annually + equity + benefits- Our salary ranges are determined by role, level and location #LI-EF1
