Search the 9 jobs at Hinge

As a Senior Backend Engineer at Hinge, you will design and maintain cloud-based services, build RESTful APIs, and develop microservices on Kubernetes. Collaborating with cross-functional teams, you will help shape technical strategy while ensuring system reliability and handling on-call responsibilities. Your role involves solving complex technical challenges and enhancing user experiences.

As a Senior Data Engineer at Hinge, you will design, build, and optimize data pipelines, enhance data modeling techniques, and maintain analytics data warehouses. Your efforts will improve product services, ensuring data consistency and low latency while directly impacting user experience and product performance. You'll work cross-functionally to support data-driven decisions and participate in on-call rotations for system reliability.

The Senior Platform Engineer will enhance Hinge's infrastructure by improving operability, security, and observability. Responsibilities include designing low-latency infrastructure, collaborating with internal teams for performance enhancements, maintaining documentation, and participating in an on-call rotation.

As a Backend Engineer at Hinge, you'll design and build cloud-based services, write high-quality code, and develop RESTful APIs. You'll also participate in on-call rotations and collaborate with cross-functional teams to enhance product areas such as recommendations and user safety.

As a Lead UX Researcher at Hinge, you will improve user experiences related to monetization through end-to-end research and collaboration with cross-functional teams. You'll generate actionable insights and contribute to the monetization strategy while enhancing communication and culture within the team.

As a Machine Learning Engineer at Hinge, you will develop and enhance machine learning models for recommendation systems, work on scalable ML architectures, and collaborate with data scientists and product managers. You'll also mentor team members and contribute to deploying predictive models that improve user experience.

Develop and deploy targeting and timing models for a smart notifications system. Optimize user engagement and personalize notifications. Design and implement for availability, scalability, and cost management. Stay up-to-date with ML/AI research.

As a Senior ML Platform Engineer at Hinge, you'll help define and contribute to a machine learning platform, work on real-time predictions, automate the ML model lifecycle, implement model monitoring, and support generative AI models. You will also collaborate with internal teams and mentor others, ensuring best practices in ML engineering and operational excellence.

As a Data Engineer at Hinge, you will develop and maintain essential data pipelines and processes that support the organization’s decision-making. Your role involves collaborating with data teams, improving the data engineering stack, and executing data modeling tasks, all while using modern technologies and delivering data-driven insights.