Match Group

Machine Learning Engineer

• Lead and execute cross-cutting machine learning initiatives that span multiple ML domains
• Partner closely with the Director of Engineering to identify the opportunities
• Step into complex or struggling projects and help bring them back on track
• Embed with individual pods as needed to provide deep technical support
• Act as a strategic thought partner to engineering managers
• Collaborate with domain tech leads as a cross-domain advisor
• Influence technical direction and best practices across the ML organization
• Mentor senior engineers and help develop technical leadership

Staff Software Engineer, Machine Learning

• Design, implement and maintain ML pipelines and CI/CD workflows (training, deployment, retraining)
• Expose ML models through inference APIs (Cloud Run / Vertex AI Endpoints) to be consumed by product and platform services
• Own monitoring, alerting and reliability of ML systems in production
• Write optimized, high-performance, scalable, testable, maintainable, and observable code
• Ensure operational readiness of ML models (logging, metrics, incident handling)
• Act as a local ML Ops reference for the Paris Data Science team
• Support DS teams to industrialize models and experiments

ML Ops Engineer

Manager

• Manage full‑funnel media strategy and planning across always‑on and campaign initiatives (brand, ROI, acquisition), spanning video/CTV, digital, social, audio, and emerging formats
• Own and maintain global media investment and pacing, including annual and quarterly planning, budget trackers, and in‑flight reallocation to hit business, audience, and efficiency goals
• Design and run structured test‑and‑learn roadmaps (creative, audience, channel, format, bidding, measurement) in partnership with Marketing Analytics and regional teams, translating experiment results into clear, repeatable playbooks
• Set and maintain integration standards for media partners, including onboarding requirements, naming conventions, event mapping, and data quality expectations to protect and strengthen Tinder’s marketing data stack
• Serve as day‑to‑day lead for our media agency and key platforms, providing clear briefs, feedback, and priorities; ensure accountability on performance, creative excellence, audience strategy, and innovation across partners.
• Partner closely internal marketing teams to translate brand platforms into media‑first ideas (formats, flighting, context, creator strategy) and to ensure integrated storytelling across paid, owned, and earned channels
• Collaborate with Creative on paid asset strategy and production, providing channel‑specific guidance on formats, specs, hooks, and messaging; influence how concepts are adapted for TikTok, Reels, Shorts, CTV, OOH, and more
• Drive operational excellence in media, including documentation, QA processes, budget governance, and partner scorecards, so the team can scale tests, learnings, and best practices across markets efficiently

Associate Manager, Global Media

Data Scientist

• Explore, design and build AI prototypes capable of significantly altering our users’ experiences
• Develop detailed data models to explain user behavior and discern complicated patterns
• Dive into the data to analyze subtle trends in business performance, presenting insights and stories through the data in accessible ways
• Work alongside our Architects to evaluate and review the algorithms we use to match users
• Design and building complex predictive models, creating forecasts, and mining deep insights from raw and unstructured data
• Perform deep dives into unstructured data and build complex models to extract valuable insights into our users and the business
• Perform time series analysis and forecasting for a variety of important business and operational metrics
• Coordinate with the Product team to identify and measure key business areas and provide them with actionable insights
• Evangelize a data-driven culture
• Participate in a highly collaborative environment, we want you to share your expertise!

Operations

• Manage end-to-end interview coordination for complex, high-volume, and multi-timezone hiring, ensuring an efficient and candidate-focused experience.
• Schedule and coordinate interviews using tools such as Google Calendar, Gmail, GoodTime, and Lever, proactively resolving scheduling conflicts and last-minute changes to keep interviews on track.
• Partner with recruiters to align interview logistics with candidate availability, role priorities, and interviewer constraints.
• Coordinate interviews for executive and senior leadership roles, partnering closely with Executive Assistants to manage complex calendars, confidentiality, and shifting priorities.
• Oversee interview logistics, including debrief coordination, candidate travel, and meal vouchers.
• Maintain accurate ATS and recruiting system records (e.g., Lever, GoodTime), upholding documentation standards and flagging issues that impact data quality or candidate experience.
• Share coordination insights and trends (e.g., scheduling bottlenecks, candidate feedback) to support improvements in hiring efficiency.
• Conduct candidate office tours and support professional onsite candidate communications.
• Support scheduling and logistics for rotational and early-career programs, as needed.

Senior Talent and Operations Coordinator – Temp

• Develop and execute integrated corporate affairs strategies that combine corporate communications, government relations, and advocacy, including the design and delivery of coordinated public affairs and communications campaigns with public sector officials, NGOs, and aligned industries.
• Build and maintain strong relationships with media, policymakers, regulators, industry associations, and civil society, ensuring consistent and credible engagement.
• Lead regional corporate communications efforts, including media strategy, messaging, and issues management.
• Represent Match Group’s positions with national and local stakeholders, directly and through coalitions and trade associations, and act as a spokesperson at industry events, policy forums, and coalitions where appropriate.
• Facilitate, prepare, and support high-level engagements between company executives and government, regulatory, and industry leaders, including briefings, messaging, and materials.
• Develop and manage a network of trusted third-party validators and advocates to support and amplify corporate narratives and public policy positions.
• Partner closely with internal teams (Business, Legal, Safety) and external advisors to ensure aligned messaging, coordinated communications, and effective policy engagement.
• Contribute to the development of corporate narratives, media materials, policy positions, white papers, and consultation responses on issues relevant to the region.

Senior Manager, Corporate Affairs – APAC

Director

• Define and own Hinge’s editorial vision and long-term roadmap for owned platforms, ensuring all storytelling consistently reflects our mission, brand values, and distinctive voice.
• Lead and evolve Hinge Newsroom as a flagship owned platform, overseeing a robust mix of articles, long-form features, Q&As, and narrative storytelling that advances thought leadership, executive visibility, product storytelling, and research- and advice-driven content for daters.
• Establish and oversee Hinge’s technology blog in partnership with cross-functional teams – shaping how we tell credible, human-centered stories about our technology, product principles, and technical innovations.
• Understand how owned storytelling supports earned media, executive visibility and brand reputation.
• Translate complex technical concepts, product decisions, and AI developments into clear, accessible, and compelling narratives that build trust with external audiences.
• Identify, develop, and write culturally relevant content that spotlights Hinge’s work, our daters, and the ideas influencing how we build a less lonely world.
• Set the bar for editorial excellence, writing, editing, and refining content that communicates Hinge’s point of view with warmth, clarity, and intention.
• Ensure all content strengthens trust and emotional connection with our audiences, reinforcing Hinge’s thoughtful, human-centered approach and deepening relationships with our community.
• Develop editorial guidelines and narrative frameworks that help cross-functional partners contribute content that is on-brand, audience-appropriate, and editorially strong.
• Edit and refine drafts from workstream leaders – enhancing clarity, storytelling, and accessibility without compromising accuracy.
• Build a fully scaled editorial system – collaborating with Creative, Operations, and Tech partners – to inform blog UX, publishing workflows, standards, and content structure that support consistency, discoverability, readability, and long-term scalability.
• Partner cross-functionally across Communications, Marketing, Creative, Product, Social Impact, Legal, and Trust & Safety to surface meaningful stories, including interviewing internal or external voices.
• Ensure a cohesive, consistent expression of Hinge’s voice across all owned storytelling channels.
• Act as a connective leader across teams, aligning narrative, voice, and visual expression to create a unified and intentional storytelling experience at every touchpoint.
• Serve as a strategic advisor to senior leaders and technical partners on narrative framing, story selection, and editorial best practices.

Editorial Director

Product Marketing

• Drive Strategic Go-to-Market Execution: Develop and execute comprehensive go-to-market plans for new features, ensuring alignment with overall product and company objectives.
• Strategic Marketing Alignment: Clearly define marketing needs and coordinate across the organization to execute against those needs.
• Optimize Feature Success Beyond Launch: Partner with design, product, and marketing teams to test, measure, and refine strategies for key audiences beyond the initial launch.
• Craft Cohesive Consumer Narratives: Identify larger stories and connect multiple feature launches for a clear, compelling market position.
• Develop Insight-Driven Creative Briefs: Craft clear and thoughtful strategic and channel briefs that lead to effective and best-in-class messaging and creative that is consistent across marketing and product surfaces.
• Be a Key Partner to the Product Team: Share actionable insights and learnings to shape future product development and marketing strategies.
• Cross-Functional Team Player: Work closely with designers, product managers, and other cross-functional leads during feature scoping and go-to-market planning to ensure we are testing, measuring, and optimizing upon and beyond feature launch for key audiences.

Product Marketing Manager

• As Manager, Strategy & Operations, you will act as an internal strategy consultant to executive leadership and the Match Group brands.
• You will lead or support high-impact initiatives, helping define strategic direction and translating insights into actionable plans.
• You should be equally comfortable diving into data, synthesizing findings into recommendations, and partnering across teams to bring proposals to life.
• You will report to the Senior Director, Strategy & Operations, and work closely with peers across Strategy, Operations, and Consumer Research.
• Engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences.

Manager, Strategy – Operations

Android Engineer

• Cross-Disciplinary Collaboration: Work closely with a diverse team of developers, designers, and product managers to build features that prioritize high quality and user engagement.
• Kotlin Proficiency: Develop and continuously enhance your understanding of Kotlin fundamentals, applying them to create efficient and effective solutions.
• Android Expertise: Gain a thorough understanding of Android development principles and design patterns, applying them to build intuitive and user-friendly applications.
• Issue Resolution: Triage, debug, and effectively resolve software issues, ensuring the stability and performance of our application.
• Codebase Stewardship: Actively contribute to the long-term health and evolution of the codebase, implementing best practices and innovative solutions.
• Code Reviews: Regularly perform code reviews, providing constructive feedback to peers to foster a culture of excellence and continuous improvement.
• Active Team Participation: Engage actively in team ceremonies such as stand-ups, planning sessions, and retrospectives to ensure alignment and promote agile methodologies.
• Effective Communication: Maintain clear and positive communication with team members and other departments, supporting an empowering and inclusive team environment.

User Researcher

• Lead research strategy: Build and drive the research roadmap for Growth product teams, ensuring that research informs product decision making and drives product strategy.
• Develop and execute end-to-end research: Conduct end-to-end research using appropriate methods that range from strategic to iterative and evaluative to help the team achieve goals.
• Growth experience: including research into international expansion, monetization and/or merchandising.
• Building inclusive products: Experience thinking through different audiences’ needs, pain points and behaviors, including working with accessibility needs in mind.
• Being a strategic cross-functional partner: Work in close collaboration with other researchers and cross-functional partners (i.e., product managers, designers, data scientists, customer experience, marketing and brand strategy) to identify key research questions and prioritize projects in the short and long term.
• Deliver high-impact insights at velocity: Generate actionable insights that help teams make decisions and build momentum towards our mission.
• Champion culture and clarity: Model honest, empathetic communication and help cross-functional partners navigate ambiguity with confidence and care.

Lead UX Researcher, Growth

• 하이퍼커넥트 Machine Learning Software Engineer (MLSE)는 사람과 사람 사이를 연결하는 서비스에서, 소프트웨어 엔지니어링을 통해 머신러닝 기술을 서비스에 적용하고 사용자 경험을 혁신하는 일을 합니다.
• 다양한 도메인의 수많은 모델을 프로덕션에 적용하고, 모바일 및 클라우드 서버를 통해 안정적으로 제공하면서 마주하는 엔지니어링 문제들을 해결하며, 우리가 만들어 내는 기술이 실제 서비스의 성장에 기여하는 것을 목표로 합니다.
• 하이퍼커넥트의 ML Software Engineer는 아자르, 사내 신규 서비스 등 하이퍼커넥트의 여러 제품들에 기여하는 머신러닝 기술들을 수년간 발전시켜 나가고 있습니다.
• ML Software Engineer는 우리가 보유한 모든 AI 기술을 제품에 적용하여 비즈니스 임팩트를 낼 수 있도록 하며, 지속 가능한 시스템을 개발하여 AI 기술의 적용이 가속화 되도록 하는 것을 목표로 합니다.
• ML 모델 기반의 확장성 있는 백엔드 서버를 개발하며, ML 모델 추론을 위한 실시간 데이터 파이프라인을 개발/운영하고, ML 모델 생산 및 운영에 들어가는 다양한 오퍼레이션을 지원하기 위한 시스템을 개발하며, 다른 팀들과 협업하여 공통으로 관리할 수 있는 플랫폼을 개발하는 작업까지 수행합니다.

Machine Learning Software Engineer – 전문연구요원 편입/전직 가능

Full-stack Engineer

• Apply principles and techniques of computer science and engineering into mobile application development.
• Design or develop software applications, integrating analytics data to measure and evaluate outcome and consequences of design.
• Use strong communication skills (written and verbal) to consult with backend engineering staff to design and evaluate application programming interface (API) interface between mobile client platform and backend services, develop API specifications and performance requirements, or develop features to address customer needs.
• Direct mobile application programming on iOS and development of documentation.
• Develop or direct unit and integration testing or validation procedures.
• Modify existing codebase to correct errors to adapt it to new use cases and requirements or to improve performance.
• Develop testing suites for mobile applications.
• Utilize experience with CoreData, advanced animations and transitions using Core Animation and UIKit Dynams.

Senior Software Engineer, iOS

Brand Manager

• Own and manage the regional brand portfolio strategy across multiple Match Group brands, ensuring clear positioning, differentiation, and prioritization by market.
• Partner closely with Finance, Strategy, and Insights teams to assess portfolio performance, identify growth opportunities, and ensure accretive portfolio growth across brands and markets.
• Translate global brand strategies into market-relevant regional frameworks, balancing consistency with local cultural relevance.
• Collaborate with country teams to ensure strong brand health, execution quality, and business impact across all markets.
• Support brand lifecycle management, including launches, expansions, repositioning, and market-specific adaptations.
• Own regional marketing initiatives that scale across markets, including integrated campaigns, seasonal moments, and cross-brand opportunities.
• Develop and execute strategic partnerships (both brand and distribution partnership) that strengthen brand equity and accelerate growth.
• Identify white-space opportunities for regional collaboration and innovation across the Match Group ecosystem.
• Own regional product marketing strategy, partnering closely with Product, Growth, and Global Marketing, local marketing teams.
• Lead go-to-market planning for new features, launches, and experiments, ensuring clear value propositions and messaging tailored to Asian audiences.
• Translate product insights into compelling narratives that drive adoption, engagement, and retention.
• Partner with Brand HQ Engagement team to help orchestrate regional CRM and lifecycle marketing strategy, spanning acquisition, onboarding, engagement, monetization, and retention.
• Act as a highly analytical leader, using data, insights, and experimentation to inform strategy and decision-making for market and HQ.
• Establish clear KPIs, measurement frameworks, and operating rhythms across brands and markets.
• Serve as a key regional stakeholder for global teams, aligning priorities, sharing insights, and influencing investment decisions.
• Mentor and influence regional and local teams, fostering a high-performance, collaborative culture.

Director, Brand Strategy – Operations

• Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.)
• Build systems with availability, scalability, operational excellence, and cost management in mind.
• Collaborate closely with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning.
• Work within our AI platform team to move models to production, monitor them, and make improvements to our serving infrastructure.