https://tech.attentive.com/About the RoleWe’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Operations (MLOps) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability. We build and maintain a foundational ML platform spanning the full ML lifecycle for consumption by ML engineers and data scientists. This is an exciting opportunity to join a rapidly growing MLOps team at the ground floor with the ability to drive and influence the architectural roadmap enabling the entire ML organization at Attentive.This team and role is responsible for building and operating the ML data, tooling, serving, and inference layers of the ML platform. We are excited to bring on more engineers to continue expanding this stack. What You'll AccomplishUnlock offline & real-time access to trillions of data points for our ML and Data Science teamsManage, expand, and optimize our feature store that enables feature engineering, multi-TB scale training jobs, and offline / real-time inferencingSupport PB scale data operations on the feature store using Apache Spark, Spark Structured Streaming, Kafka, and RayPartner with other teams and business stakeholders to deliver ML and AI initiativesYour ExpertiseYou have been working in the areas of Data Engineering / MLOps for 5+ years, and have built and matured the pipelines of a PB-scale feature storeYou have deep Apache Spark, Spark Streaming, and Ray Data experience and built data pipelines for ML use cases using these toolsYou understand the correlation between data cardinality, query plans, configuration settings, and hardware and the impact of each on data pipeline performance You have led the rollout and operationalization of feature stores such as Tecton or FeastYou understand the key differences between online and offline ML inferences and can voice the critical elements to be successful with each to meet business needsWhat 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 🤗, PyTorch, TensorFlow, and PandasYou'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

- The US base salary range for this full-time position is $144,840 - $210,000 annually + equity + benefits- Our salary ranges are determined by role, level, and location#LI-EZ1Attentive Company ValuesDefault to Action - Move swiftly and with purposeBe One Unstoppable Team - Rally as each other’s championsChampion the Customer - Our success is defined by our customers' successAct Like an Owner - Take responsibility for Attentive’s successLearn more about AWAKE, Attentive’s collective of employee resource groups.If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.