Match Group
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As a Senior Backend Engineer at Tinder, you will design and develop scalable distributed services, collaborate with teams on service expansion, maintain critical services, and influence product development. You will work on high-traffic backend systems using modern technologies to tackle engineering challenges and improve platform performance.
As a Sr. Software Engineer in Machine Learning Infrastructure at Tinder, you will develop and enhance infrastructure that supports machine learning processes across the organization. Your responsibilities include building scalable systems, mentoring junior engineers, and collaborating with cross-functional teams to drive ML innovation and experiment at scale.
Senior iOS Engineer at Tinder responsible for contributing to the architecture, design, and implementation of consumer-facing features, building in-app experiences, coordinating with product and design teams, creating and maintaining internal frameworks, shaping optimized analytics tools, evolving authentication flows and account management, and mentoring team members.
The Staff Content Designer will redefine online dating for Gen Z by crafting compelling content strategies across the app. This role involves collaboration with cross-functional teams, addressing complex problems, maintaining content guidelines, and optimizing user experience through data insights. Empathy and strategic thinking are essential for driving innovation in communication with Tinder’s users.
The Staff Product Manager will lead the strategy and execution for Tinder's recommendations machine learning and AI team, enhancing recommendation systems through advanced algorithms and user behavior modeling. This role involves setting vision, defining key metrics, and overseeing the development of innovative features while leveraging data insights and fostering team collaboration.
The Senior Product Manager will lead the strategy and execution for Tinder's recommendations ML/AI team, enhancing recommendation systems through advanced machine learning and AI. Responsibilities include developing specifications for features, collaborating with engineering and data science, and using user data insights to guide product decisions.
As a Sr. Product Manager on the Core team at Tinder, you will lead the strategy and execution of the Profile roadmap, enhance user experience through innovative feature development, and collaborate across departments to ensure impactful product delivery.
The Product Design Manager will lead the design systems, accessibility standards, and internal tooling efforts, ensuring alignment with product goals. They will manage a team, mentor designers, and collaborate across teams to enhance user experience on Tinder's platforms, championing high design quality and inclusivity.
As a Data Scientist II at Tinder, you'll analyze complex datasets to improve recommendation algorithms, enhance user engagement, and drive revenue. You will work with various teams to design experiments, build forecasting models, and create automated reports, using A/B testing and data visualization tools to inform strategic decisions.
As a Design Engineer II, you will create innovative prototypes for Tinder's features, collaborating with cross-functional teams to enhance user experiences through design iteration and rapid prototyping. You will utilize technologies like Swift and React to develop user-centric solutions and engage in the full prototyping lifecycle, from concept to user testing.
As a Senior Backend Engineer at Hinge, you will design, build, and maintain cloud-based services, tackle complex technical challenges, write high-quality code, and implement microservices. You'll work with cross-functional teams to innovate products and ensure the success of various projects, while also participating in an on-call rotation.
As a Backend Engineer at Hinge, you'll design, build, and maintain cloud-based services, create RESTful APIs, and develop microservices using Go in a collaborative environment. You'll solve complex technical challenges and be involved in defining the technical strategies for innovation across product areas.
The Data & Analytics Engineer will manage data governance, data engineering, and analytics engineering, developing sustainable data pipelines and models. Responsibilities include business collaboration for data standards, ensuring data quality, creating dashboards, and developing data applications using modern data stack technologies.
The Machine Learning Engineer at Hinge will develop recommendation systems and deploy AI solutions using the company’s extensive data. Responsibilities include designing scalable ML models, mentoring team members, collaborating with various stakeholders, and leading ML projects to improve user dating experiences.
As a Senior Machine Learning Engineer at Hinge, you will develop and deploy machine learning models to boost user engagement and optimize dating outcomes. You'll collaborate with teams, implement scalable systems, and ensure ethical AI practices while driving innovations in user experience and monetization.
As a Senior ML Platform Engineer at Hinge, you will focus on developing and enhancing machine learning platforms, collaborating with product and engineering teams, mentoring others, and designing scalable ML systems to support the organization’s AI-driven features.
As an Anti Abuse Analyst II, you will proactively identify and mitigate abuse threats on Tinder's platform. Your role involves enhancing automated detection systems, investigating anomalies, leveraging data analytics, and collaborating with cross-functional teams to strengthen safety protocols.
As a Back-end Engineer at Pairs, you will develop and implement new features, design and operate scalable back-end solutions, and collaborate closely with product managers and front-end engineers. Your contributions will directly impact project success and user satisfaction, while utilizing technologies like MySQL, DynamoDB, and Go.
The Manager of Public Policy at Match Group will develop and execute strategies to advance public policy goals, build government relationships, and monitor the political environment in Japan. This role entails representing the company externally, managing communications, and advising leadership on policy impacts, while handling issues relating to online dating and safety in the tech landscape.
As a Machine Learning Engineer, you will engage with the product team from planning to implementation, contributing to projects involving recommendation systems, search, natural language processing, and image processing. Your role will be crucial in defining project outcomes, enhancing product metrics, and making technology choices for machine learning components while analyzing prototypes and optimizing data utilization.