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About the RoleWe’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Platform (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 ML Platform 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 AccomplishExpand, mature, and optimize our ML platform built around cutting edge tooling like Ray, MLFlow, Metaflow, Argo, and Spark to support traditional, deep learning, and reinforcement learning ML modelsBuild and mature capabilities to support CPU / GPU clusters, model performance monitoring, drift detection, automated roll-outs, and improved developer experienceBuild, operate, and maintain a low-latency, high volume ML serving layer covering both online and batch inference use casesOrchestrate Kubernetes and ML training / inference infrastructure exposed as an ML platformExpose and manage environments, interfaces, and workflows to enable ML engineers to develop, build, and test ML models and servicesYour ExpertiseYou have been working in the areas of ML Platform / MLOps for 5+ years, and have an understanding of gold standard practices and best in class tooling for MLYou have owned and built core components of an ML Platform using tools such as Spark, Ray, MLFlow, Kubeflow, or MetaflowPython is your coding language of choice, and you’ve worked with Python as both a batch analysis tool and online service frameworkYour passion is exposing platform capabilities through interfaces that enable high performance ML practices, rather than designing ML experiments (this team does not directly develop ML models)You understand the key differences between online and offline ML inference and can voice the critical elements to be successful with each to meet business needsYou understand the importance of CI/CD in building high-performing teams and have worked with tools like Jenkins, CircleCI, Argo Workflows, and ArgoCDSample ProjectsDesign and implement an online inference pipeline with champion/challenger shadow model testingScale real-time feature streaming use cases to handle low-latency, high-volume RL use casesBuild a universal data access layer (DAL) and serving interface to expose predictions to different parts of Attentive’s productsMature platform interfaces toward full self-service for stakeholdersImprove existing build and release pipelines for better reliability and Python package managementSalary and BenefitsYou'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.Compensation (US based applicants)The US base salary range for this full-time position is $170,000 - $230,000 annually + equity + benefitsOur salary ranges are determined by role, level and locationAttentive 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 successEqual OpportunityAt 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.
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