Senior/Staff Machine Learning Engineer

This Senior Machine Learning Engineer role builds ML-based software systems for ad creative and campaign optimization, working with diverse datasets including image, video, audio, text, and structured performance data. You will contribute to the MLOps and data platform, productionize AI/ML applications, and collaborate with product, engineering, and infrastructure stakeholders. Requires 5+ years of production software experience, 2+ years delivering ML-powered services, fluency in Python, and hands-on experience with modern ML frameworks and cloud infrastructure, with hybrid work.

Develops and deploys machine learning models to solve business problems, focusing on model training, evaluation, and productionization. Collaborates with data engineers and product teams to integrate ML solutions into products.

This senior individual-contributor role focuses on architecting and maintaining high-performance feature pipelines (batch, streaming, point-in-time correct) for Cognitiv's real-time bidding systems. The engineer will own model training pipeline optimization, integrate LLM/deep learning embeddings into the feature store, and establish technical standards for monitoring and CI/CD. Requires 3-5+ years of ML infrastructure experience, proficiency in Python/Java/Scala, and deep expertise in AdTech and big data technologies like Spark, Flink, and Kafka.

This Senior Staff Machine Learning Systems Engineer role leads the technical strategy for Reddit's Ads ML Platform, focusing on the end-to-end ML engineer lifecycle including feature development, training data, and experimentation workflows. The engineer will define architecture standards, build platform abstractions, and mentor staff-level engineers. Requires 8+ years of infrastructure or distributed systems experience with 4+ years building production ML infrastructure or feature platforms.

This Account Executive role focuses on selling programmatic advertising solutions to agencies and brands in the Southeast US, managing both new business development and existing client growth. The role requires building a robust pipeline using CRM tools, creating pitch decks, and collaborating with Account Managers to retain and expand accounts. Success is measured by quota attainment and the ability to communicate technical platform concepts to clients.

This role drives the self-serve advertiser experience, building features that help customers discover, adopt, and get value from the platform. The Senior Full Stack Engineer will own features end-to-end, partner with Product and Design, and use experimentation to inform decisions. Requires 6+ years of experience with strong frontend skills and expertise in React, TypeScript, GraphQL, Ruby on Rails, and Go.

This DevOps Engineer role on the Services team operates and improves StackAdapt's observability stack, ECS platform, and internal workflow orchestration services. The engineer will build and maintain scripts and tools to reduce manual effort, participate in on-call rotation, and partner with engineering teams on deployment and monitoring. Requires hands-on experience with Infrastructure as Code, CI/CD, AWS services like ECS and IAM, and production observability including metrics, logs, tracing, and alerting.