Matchgroup

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<div>Know where you belong!<br /><br />Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.</div>
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<div>When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL).  We think the same is true for creating the best platforms, so we work together IRL 3 days/week.</div>
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<p>We're looking for a <strong>Sr. Data Engineer </strong>to join our new <strong>Match Group Core Data team</strong>. This new position is a hybrid role combining the technical expertise of a data engineer with the product-focused mindset of a product manager — ensuring data is effectively leveraged to build and improve data products for all brands and business units in Match Group.</p>
<p>The Core Data team is a service organization that delivers data and reporting solutions across the entire Match Group enterprise, supporting Marketing, Product, Finance, Accounting, Strategy, and Analytics teams for every brand (Tinder, Hinge, Match, OkCupid, PlentyOfFish, BLK, Chispa, and more).</p>
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<h2>How you'll make an impact:</h2><div>

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<p>Work with engineering teams to ensure data flows accurately from creation to presentation layers</p>
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<p>Advocate for the Core Data team by championing best practices around scale, performance, and privacy</p>
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<p>Improve the data technology stack through containerization, data modeling, ETL pipeline development, and building scalable/reliable solutions</p>
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<p>Translate stakeholder needs into action items and deliverables</p>
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<p>Create high-quality, business-ready data solutions suitable for non-engineers</p>
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<p>Proactively brainstorm new metrics and data views for business partners</p>
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<p>Maintain the data library — core metric definitions, sample data, access tips</p>
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<p>Train brand data analysts to support data needs at their dating brand</p>
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<p>Communicate regularly with key customers; maintain accurate release notes for platform changes</p>
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<p>Represent internal customers — advocate for changes, resourcing, re-architecture, or blockers</p>
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<p>Support existing on-prem infrastructure and help expand into the cloud (AWS/Databricks)</p>
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<h2>We could be a match if you have:</h2><ul><li> <strong>5+ years of professional/industry experience</strong></li>
<li>Expertise in SQL, data modeling, lakehouse architecture, and Python</li>
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<p>Experience with Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational databases (e.g., SQL Server)</p>
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<p>Ability to drive initiatives and articulate their value to engineering and stakeholders</p>
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<p>Experience delivering data products from conception to delivery</p>
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<p>Strong written and verbal communication skills</p>
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<p>Experience facilitating workshops across disparate groups</p>
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<p>Passion for designing elegant data solutions and platforms</p>
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Senior Data Engineer

<div><span>Know where you belong!<br /><br />Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.<br /></span></div>
<div> </div>
<div><span>When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL).  We think the same is true for creating the best platforms, so we work together IRL 3 days/week.</span></div><div><br /></div><div>
<h2><strong><span>The Team or Role: </span></strong></h2>
<p><span>Match Group’s Analytics Team is looking for a Data Scientist II with expertise in Marketing Analytics.</span></p>
<p><span>Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams including Product, Marketing, Engineering, and Finance, so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance.</span></p>
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<p><span>As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and analysis, and data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing, as well as the ability to work in cross-functional teams to drive actionable insights. </span><span>Experience with user growth and acquisition across multi-brand consumer products is a plus.</span></p>
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<h2><strong><span>Where you’ll work:</span></strong></h2>
<p><span>This is a hybrid role and requires in-office collaboration three days per week. </span><span>This position is located in NYC or Los Angeles.</span></p>
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<h2>In this role, you will:</h2><div>

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<p>Master and be responsible for analyzing marketing and business performance.</p>
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<p>Build models better to understand the impact of our marketing investments and strategy</p>
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<p>Find the “story” in the data and communicate insights and opportunities with executives and other internal teams.</p>
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<p>Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth.</p>
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<p>Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data.</p>
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<p>Support reporting and business intelligence needs of the entire Marketing team.</p>
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<h2>You’ll need:</h2><div>

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<p>3+ years of relevant experience in analytics or data science</p>
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<p>Experience building bayesian regressions and/or other marketing measurement techniques</p>
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<p>Experience designing, executing, and measuring geo experiments and causal inference techniques</p>
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<p>Ability to think objectively and interpret meaningful themes from quantitative and qualitative data</p>
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<p>Ability to build constructive and effective relationships with a broad and diverse group of business partners</p>
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<p>Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions</p>
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<p>Proficiency with SQL required</p>
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<p>Scripting skills, preferably in Python. </p>
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<p>Knowledge of statistics, specifically experimental design and analysis</p>
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<p>Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents)</p>
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<p>Familiarity with common marketing KPIs, metrics, and growth experiments</p>
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<h2>Differentiators:</h2><div>

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<p>Curiosity about how things work, from both a business and technical perspective, leading to the identification and exploration of new strategic opportunities, potential improvements to our data infrastructure, and deepening our understanding of member behavior.</p>
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<p>Proactive collaborator skilled in engaging with cross-functional teams (Marketing, Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives</p>
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<p>Ability to prioritize time across multiple projects and communicate timelines</p>
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Data Scientist, Marketing Analytics

<h2>Match Group AI Team Introduction</h2><div>
<p>Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group’s global portfolio, including <strong>Tinder, Hinge, Azar, Pairs, Match, BLK, etc</strong>. Our mission is to solve the most complex challenges in online dating (e.g., Recommendation, Trust &amp; Safety, Profile Enhancement) by bridging cutting-edge AI research with excellent software engineering.</p>
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<p>Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry.</p>
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<li>Detailed article: <span><a href="https://career.hyperconnect.com/post/68f1fe3749ec060001acde16/" rel="noopener noreferrer ugc" target="_blank">Introduction to Match Group AI Team</a></span> (written in Korean)</li>

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<h2>Working as a MLSE at MG AI</h2><div>
<p>While ML Engineers focus on modeling, Machine Learning Software Engineers (MLSEs) at MG AI team focus on the critical bridge between research and production. We ensure that state-of-the-art models (including LLMs and Multimodal systems) are integrated into high-traffic environments, serving millions of users in real-time.</p>
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<p>We also upload a selection of interesting problems solved by our team's engineers to the Hyperconnect <a href="https://hyperconnect.github.io/" rel="noopener noreferrer ugc" target="_blank"><span>Tech blog</span></a> (written in Korean).</p>
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<li><span><a href="https://hyperconnect.github.io/2026/01/23/On-device-Face-Verification-Pipeline-Optimization.html" rel="noopener noreferrer ugc" target="_blank">On-device AI Face Verification Pipeline Optimization</a></span></li>
<li><span><a href="https://hyperconnect.github.io/2023/05/30/Python-Performance-Tips.html" rel="noopener noreferrer ugc" target="_blank">10 Python Performance Optimization Tips for High-Performance ML Backends</a></span></li>

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<h2>What You’ll Do</h2><ul><li><strong>Build ML Services:</strong> Design and develop backend services and distributed systems that enable the seamless consumption, scaling, and monitoring of ML models.</li>
<li><strong>Build ML Pipelines:</strong> Design and develop ML serving pipelines (real-time and batch) to deliver model outputs with low latency and high reliability.</li>
<li><strong>Improve Recommendation System:</strong> Improve the AI-powered personalized recommendation system to help users find better matches on Match Group’s dating apps (serve better retrieval/ranking/utility models, add better features, etc).</li>
<li><strong>Co-Engineering with Brands:</strong> Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Match, Azar, Pairs, etc.) across various global offices, including Seoul, Palo Alto, LA, Vancouver, Dallas, and Tokyo.</li>

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<h2>What We're Looking For</h2><ul><li>2+ years of experience in software engineering, with a focus on Backend, ML Engineering, or Data Engineering.</li>
<li>Strong understanding of CS Fundamentals (data structures, algorithms, operating systems) and distributed system design.</li>
<li>Proficiency in at least one modern programming language (e.g., Python, Go, Java, Kotlin, C#) and a "polyglot mindset" to adapt to new stacks quickly.</li>
<li>A strong interest in how ML models are built and a passion for solving the engineering challenges of deploying them in the real world.</li>
<li>Proficiency in leveraging AI-powered tools (e.g., Claude Code, Codex, Cursor) to accelerate productivity.</li>
<li>Professional working proficiency in English. (Able to conduct business meetings and participate in complex discussions without requiring assistance.)</li>
<li><span>Fluent in Korean (Sophisticated professional interactions with native-level precision): Essential for cross-functional collaboration within the Seoul office.</span></li>

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<h2>Nice to Have</h2><div>

<li>Experience with the full ML lifecycle, from model training to production deployment.</li>
<li><span>Experience in building AI-based recommendation system.</span></li>
<li>Experience in developing scalable backend servers (handling millions of users).</li>
<li>Experience in developing and serving ML-driven services using frameworks such as vLLM, Triton, Ray Serve, or Seldon.</li>
<li>Experience with big data or stream processing frameworks (e.g., Spark, Flink, Kafka) for building robust ML data pipelines.</li>
<li>Experience in collaborating with cross-functional teams and diverse organizations.</li>
<li>Fluent in English (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.)</li>

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<h2>Hiring Process</h2><div>

<li>Work type: Full-time</li>
<li>Legal Entity: Hyperconnect / Brand: Match Group AI</li>
<li>Recruitment Process: Resume Review &gt; Live Coding Interview &gt; Technical Interview &gt; Technical Deep-dive &amp; Cultural Alignment Interview &gt; Offer

</li><li><em>(* Please note that part of the interview process may be conducted in English)</em></li>


<li>For the document screening stage, only successful candidates will be individually notified of the results.</li>
<li>Application documents: A detailed, career-based English resume (PDF) in free format</li>
<li>This position is open to candidates seeking to transfer as Alternative Military Service Researchers (전문연구요원). For those under this program, service management will be conducted in accordance with the relevant military service exemption laws.</li>

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Matchgroup

Open jobs at Matchgroup

Senior Data Engineer

Data Scientist, Marketing Analytics

Machine Learning Software Engineer (Match Group AI)

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