Blackhawk Network (BHN) is building a digital platform and products that bring people and brands together. This involves responsibility for building stream-processing systems, using solutions such as Spark-Streaming and DevOps pipelines and CI/CD systems for the agile enterprise. The role includes building Large scale transaction processing systems with technologies such as REST, micro-services, Spark, Lambda processing and Data and Analytics platforms.
Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. The role requires a blend of technical expertise and business intuition to build scalable and reliable systems that drive revenue.
You’ve built systems where petabyte-scale performance, resilience, and clarity of design all matter. You thrive at the intersection of infrastructure engineering and applied research, and care deeply about both how something works and how well it works at scale.
Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. The ideal candidate will develop and scale advertising algorithms that optimize engagement and revenue simultaneously.
Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
Join our growing AI team as a Lead Software Engineer (AI Data Systems) and help build the critical infrastructure that powers the future of intelligent, agent-driven systems at Upwork. You’ll be responsible for collecting high-quality training data, building scalable featurization pipelines, and delivering performant systems to support model training and inference at scale.
You will build scalable systems and data pipelines to power consumer credit reporting, partnering closely with Product, Compliance, Servicing, and Credit teams to design robust reporting systems. The systems you will work on are vital for delivering accurate and timely data from Affirm’s financial product portfolio to Consumer Reporting Agencies. Affirm is growing fast and they want you to enable them to scale their products to 10x and beyond through building world-class systems.
Join the growing platform engineering team as a Staff Backend Engineer! In this role, you will leverage your deep programming expertise to design and build scalable, reliable backend systems. You will design, develop, and maintain robust Scala and Java based systems. You will also implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity.
You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily.