Design and operate services that serve personalized recommendations to users in real time, including Smart Shuffle and Discover Weekly.
Build and maintain large-scale batch pipelines in Scala/Scio and Flyte that generate candidate pools and personalization signals for millions of users daily.
Collaborate with data scientists and product managers to bring new recommendation ideas to production and set engineering standards.
Design, build, and maintain distributed data pipelines that power Spotify Wrapped data stories and personalized experiences for more than 300M users globally.
Partner with Data Scientists to evaluate and operationalize new Wrapped story concepts, balancing personalization, scalability, and eligibility requirements.
Build scalable systems that process large-scale listening data and generate insights that celebrate users’ unique listening journeys.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. They are behind some of Spotify’s most-loved features. Join them and you’ll keep millions of users listening by making great recommendations to each and every one of them.
Design, build, and ship agentic systems that ground personalized listening experiences in cultural context and world knowledge.
Develop and maintain pipelines for extracting, structuring, and serving cultural signals at scale, leveraging LLMs and agentic workflows.
Partner closely with teams across Personalization to integrate foundational cultural data and tech into new agentic listening experiences.
Spotify's Personalization team enhances the listening experience by creating features like Blend and Discover Weekly, using Generative AI to personalize music and podcast recommendations. The AI Foundation team, with around 100 AI/ML Engineers, Applied Research Scientists, Product Managers, and domain experts, builds the foundational data and tech for these personalized experiences.
Build scalable backend services and APIs that power our digital merchandising platform.
Work with other senior engineers to contribute to high level decisions about the architecture and design.
Work with Product Managers to make Jane’s advertising product offerings sound, robust and easy to use.
Jane Technologies is an MIT-founded eCommerce company in the cannabis industry experiencing rapid growth. Their mission is to bring confidence to the online cannabis shopping experience by connecting consumers with local dispensaries and brands. They are a small close-knit team of highly technical engineers with diverse backgrounds and a strong engineering culture.
Design, build, test, deploy, and maintain scalable, reliable platform services and shared libraries.
Contribute to platform and system architecture decisions with a focus on reliability, scalability, and developer experience.
Write high-quality, maintainable code and set a strong example of engineering best practices.
Oportun is a mission-driven financial services company that aims to help its members reach their financial goals. They have provided more than $21.3 billion in responsible and affordable credit and saved its members more than $2.5 billion in interest and fees.
Design, build, and maintain backend services using Java and/or Kotlin, Spring Boot, and Spring Batch or equivalent JVM batch frameworks.
Develop and evolve REST and GraphQL APIs serving internal services and consumer-facing products.
Build and tune batch processing pipelines for data-intensive workflows, including ingestion, enrichment, and scheduled jobs.
The company is hiring a Backend Software Engineer to build and maintain scalable backend services supporting high-volume product experiences. This is a hands-on contract role for an engineer who can work with general independence and collaborate with product, design, platform, and engineering teams.
Design and develop scalable, high-performance, low-latency backend services using Java and AWS technologies.
Collaborate with product, frontend, and QA teams to define technical requirements and ensure smooth integration with other platform components.
Optimize existing services for maximum performance, reliability, and maintainability while implementing CI/CD best practices.
Oscilar builds an advanced AI Risk Decisioning Platform that helps banks, fintechs, and digital organizations manage fraud, credit, and compliance risk. The team includes industry veterans from Meta, Uber, Citi, and Confluent, and operates with a mission-driven culture emphasizing ownership and innovation.
Collaborate with fellow engineers and stakeholders to build scalable platforms.
Work closely with product managers and engineers to design and implement new features.
Build features to enable content providers to deliver music videos across platforms.
Vevo is the world's leading music video network, connecting a global audience to high quality music video content. Founded by Universal Music Group and Sony Music Entertainment, Vevo brings cross-promotional support to artists and embraces partnerships to deliver content.
Design, build, and maintain scalable backend services and APIs that power Chattermill’s core analytics platform.
Architect reliable, maintainable distributed systems and contribute to the evolution of backend service design and infrastructure.
Own end-to-end delivery of backend engineering workstreams, from technical scoping and architecture through to implementation, testing, observability, and production support.
Chattermill helps large successful brands like Uber, Amazon, and Wise put their customers at the centre of everything they do. Using best-in-class tech in a fast-evolving AI space, their Customer Experience Intelligence platform continuously analyses feedback to help clients identify what to do next.
Design and implement robust data infrastructure in AWS, using Spark with Scala.
Evolve our core data pipelines to efficiently scale for our massive growth.
Store data in optimal engines and formats, matching your designs to our performance needs and cost factors.
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification.