Match Group

Sr. Machine Learning Engineer (MG AI)

Machine Learning Engineer (MG AI)

Senior QA Analyst

Product Operations Specialist

Staff Product Manager, Machine Learning and Recommendations

Product Design Manager, Design Systems and Accessibility

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Warner Bros. Games

Staff Software Engineer, Data Quality & Audience

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Warner Bros. Discovery seeks a Staff Software Engineer for its Data Quality & Audience team in Hyderabad.  The role involves using software engineering to solve complex data challenges, automating solutions, and scaling existing data quality offerings.  Responsibilities include building a deep understanding of the digital streaming service, optimizing data quality processes, designing and implementing automated tests, and collaborating with stakeholders.  The ideal candidate will possess strong technical skills, experience in data quality and analytics, proficiency in programming languages (Python or R), SQL, data warehousing concepts, and big data technologies.  Leadership and communication skills are also essential.

<p>Applicants – please be advised that all email correspondence by official Warner Bros. Games recruiters will come from the @lith.com, @warnerbros.com or @wbgames.com domains. Our agency recruiters who reach out through LinkedIn will also properly identify themselves as employees of the companies that work with us. All other parties claiming to be our recruiters are not affiliated with Warner Bros. Games, Monolith or any of our studios. Please take care not to share your personal information with these contacts, nor click on any links embedded in their messages. If you have any questions, you can reach out to us directly at recruiting@wbgames.com.</p><p>Warner Bros. Games brings some of the most iconic characters and stories in entertainment to life through videogame development. With multiple world class development studios located across North America and the UK, our teams are made up of top talent in the industry. We strive for an open and collaborative culture where our people can do what they do best – making great games.</p><p>Our 11 studios include:&nbsp;</p><p>Warner Bros. Games (Burbank, CA)</p><p>linkedin.com/company/warnerbrosgames</p><p>Warner Bros. Games San Francisco (San Francisco, CA)</p><p>linkedin.com/company/warner-bros-games-san-francisco</p><p>Warner Bros. Games San Diego (Carlsbad, CA)</p><p>linkedin.com/company/wb-games-san-diego</p><p>Warner Bros. Games Boston (Needham, MA)</p><p>linkedin.com/company/wbgamesboston</p><p>Warner Bros. Games New York (Troy, NY)</p><p>linkedin.com/company/wb-games-ny</p><p>Warner Bros. Games Montreal (Montreal, CA)</p><p>linkedin.com/company/wb-games-montreal-inc-</p><p>NetherRealm Studios (Chicago, IL)</p><p>linkedin.com/company/netherrealm-studios</p><p>Monolith Productions (Kirkland, WA)</p><p>linkedin.com/company/monolith-productions</p><p>Avalanche (Salt Lake City, UT)</p><p>linkedin.com/company/avalanche-software</p><p>Rocksteady Studios (London, UK)</p><p>linkedin.com/company/rocksteady-studios-ltd</p><p>TT Games (Maidenhead, UK)</p><p>linkedin.com/company/tt-games-ltd&nbsp;</p>

Senior Software Engineer - Java Fullstack

<div data-automation-id="jobPostingDescription" class="css-oplht1"><p style="text-align:left"><b><i><span>Welcome to Warner Bros. Discovery… the stuff dreams are made of.</span></i></b></p><p style="text-align:inherit"></p><p style="text-align:left"><b><span>Who We Are… </span></b></p><p style="text-align:left"><span>When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the <i>storytellers</i> bringing our characters to life, the<i> creators</i> bringing them to your living rooms and the <i>dreamers</i> creating what’s next…</span></p><p style="text-align:inherit"></p><p style="text-align:left"><span>From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.</span></p><p style="text-align:inherit"></p><p><b><u>Staff Software Engineer, Data Quality &amp; Audience - Hyderabad<br><br>About Warner Bros. Discovery:</u></b></p><p>Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.</p><p>For more information, please visit <a rel="noopener noreferrer" target="_blank" href="http://www.wbd.com/">www.wbd.com</a></p><p><br><u><b>Meet Our Team: </b></u></p><p>The Data &amp; Audience organization is at the forefront of developing and maintaining frameworks, tools, and high quality data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. &nbsp;Our mission is to foster unified analytics and drive data-driven use cases through a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.</p><p><br><u><b>Roles &amp; Responsibilities: </b></u></p><p>Warner Brothers Discovery (WBD) is looking to hire a full-time Experienced Software Engineer to join our Data Quality team. The team helps our clients articulate how data contributes to business value, identifies data quality issues, and implements solutions to verify, validate, and monitor data quality. &nbsp;&nbsp;As a Staff Software Engineer, you will use software-based approaches to solve complex data-driven challenges and automate solutions. Within our organization, you’ll lead efforts aimed at scaling our existing data quality offerings and establish the technical strategy for how we can build better and equip our Data Producers and Consumers. You will build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, data, and cloud knowledge, to optimize, automate and evolve how we ensure the highest quality data.</p><p>To be successful, you’ll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills. You have experience practicing&nbsp;in a data organization, ensuring quality Data and Analytics. As a Staff Engineer you will drive the framework to formulate rules-based and pattern-based tests.&nbsp; Ensuring code and pipelines are created to discover, implement, execute, and manage those tests.&nbsp; In addition, you’ll have strong systems knowledge and experienced troubleshooting abilities.</p><p></p><p><b>Roles &amp; Responsibilities</b>:</p><ul><li><p><b>Engineering:</b> Apply broad knowledge of technology options, platforms, design techniques and approaches across the Data Engineering ecosystem to build systems that meet quality needs.</p></li><li><p><b>Developer Excellence:</b> Build systems and datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence best practices</p></li><li><p><b>Data Warehousing</b>: Understanding of data warehousing concepts, ETL processes, and tools (e.g., Apache Airflow, Talend).</p></li><li><p><b>SQL and Database Knowledge</b>: Proficiency in SQL for querying and validating data in various types of databases (relational and non-relational).</p></li><li><p><b>Programming Languages</b>: Knowledge of programming languages like Python or R, particularly for data manipulation, automation, and building custom validation scripts.</p></li><li><p><b>Data Validation and Testing: </b>Expertise in validating data quality, integrity, and consistency across different datasets.</p></li><li><p><b>Data Quality Tools</b>: Familiarity with tools like Apache Spark, Pandas, Great Expectations, Informatica Data Quality, Talend Data Quality, etc.</p></li><li><p><b>Big Data Technologies</b>: Experience with big data frameworks like Hadoop, Apache Spark, and distributed computing environments.</p></li><li><p><b>API Testing</b>: Skills in testing and validating data flows through APIs and web services.</p></li><li><p><b>Tooling Aptitude</b>- Successful track record of instrumenting tools, automation, and processes at scale for frontend and backend Quality engineering activities (Unit, Integration, User journey, Load, payment, regression testing)&nbsp;</p></li><li><p><b>Software Quality</b> - Understanding of automation workflows, CICD release pipelines, test environments across multiple products and release within an agile development framework.</p></li><li><p><b>Drive the design</b>, to build, execute, and maintain automated tests and/or manage deep data profiling runs to ensure data products and pipelines meet expectations</p></li><li><p><b>Leadership:</b> Collaborative Leader who helps other engineers and team members to be more productive, sharing knowledge and guides direction for key technical decisions. Provide mentoring to other engineers.</p></li><li><p><b>Growth oriented:</b> Participate in the growth of the DQE practice by sharing knowledge and lessons learned, continually improving best practices, and contributing to methods that will systematically advance workforce capabilities</p></li><li><p><b>Effective Communicator:</b> Effectively communicate through technical documentation, commented code, and interactions with stakeholders and adjacent teams</p></li><li><p><b>Culture Driven:</b> Contribute to building a vibrant workplace, where teams can thrive, and model the organization’s positive, supportive culture of respect and excellence</p></li></ul><p><br><u><b>What to Bring:</b></u></p><p>Warner Brothers Discovery (WBD) is looking to hire a full-time Experienced Software Engineer to join our Data Quality team. The team helps our clients articulate how data contributes to business value, identifies data quality issues, and implements solutions to verify, validate, and monitor data quality. &nbsp;&nbsp;As a Staff Software Engineer, you will use software-based approaches to solve complex data-driven challenges and automate solutions. Within our organization, you’ll lead efforts aimed at scaling our existing data quality offerings and establish the technical strategy for how we can build better and equip our Data Producers and Consumers. You will build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, data, and cloud knowledge, to optimize, automate and evolve how we ensure the highest quality data.</p><p>To be successful, you’ll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills. You have experience practicing&nbsp;in a data organization, ensuring quality Data and Analytics. As a Staff Engineer you will drive the framework to formulate rules-based and pattern-based tests.&nbsp; Ensuring code and pipelines are created to discover, implement, execute, and manage those tests.&nbsp; In addition, you’ll have strong systems knowledge and experienced troubleshooting abilities.</p><p></p><p><b>Roles &amp; Responsibilities</b>:</p><ul><li><p><b>Engineering:</b> Apply broad knowledge of technology options, platforms, design techniques and approaches across the Data Engineering ecosystem to build systems that meet quality needs.</p></li><li><p><b>Developer Excellence:</b> Build systems and datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence best practices</p></li><li><p><b>Data Warehousing</b>: Understanding of data warehousing concepts, ETL processes, and tools (e.g., Apache Airflow, Talend).</p></li><li><p><b>SQL and Database Knowledge</b>: Proficiency in SQL for querying and validating data in various types of databases (relational and non-relational).</p></li><li><p><b>Programming Languages</b>: Knowledge of programming languages like Python or R, particularly for data manipulation, automation, and building custom validation scripts.</p></li><li><p><b>Data Validation and Testing: </b>Expertise in validating data quality, integrity, and consistency across different datasets.</p></li><li><p><b>Data Quality Tools</b>: Familiarity with tools like Apache Spark, Pandas, Great Expectations, Informatica Data Quality, Talend Data Quality, etc.</p></li><li><p><b>Big Data Technologies</b>: Experience with big data frameworks like Hadoop, Apache Spark, and distributed computing environments.</p></li><li><p><b>API Testing</b>: Skills in testing and validating data flows through APIs and web services.</p></li><li><p><b>Tooling Aptitude</b>- Successful track record of instrumenting tools, automation, and processes at scale for frontend and backend Quality engineering activities (Unit, Integration, User journey, Load, payment, regression testing)&nbsp;</p></li><li><p><b>Software Quality</b> - Understanding of automation workflows, CICD release pipelines, test environments across multiple products and release within an agile development framework.</p></li><li><p><b>Drive the design</b>, to build, execute, and maintain automated tests and/or manage deep data profiling runs to ensure data products and pipelines meet expectations</p></li><li><p><b>Leadership:</b> Collaborative Leader who helps other engineers and team members to be more productive, sharing knowledge and guides direction for key technical decisions. Provide mentoring to other engineers.</p></li><li><p><b>Growth oriented:</b> Participate in the growth of the DQE practice by sharing knowledge and lessons learned, continually improving best practices, and contributing to methods that will systematically advance workforce capabilities</p></li><li><p><b>Effective Communicator:</b> Effectively communicate through technical documentation, commented code, and interactions with stakeholders and adjacent teams</p></li><li><p><b>Culture Driven:</b> Contribute to building a vibrant workplace, where teams can thrive, and model the organization’s positive, supportive culture of respect and excellence</p></li></ul><p></p><p><b><u>What We Offer:</u></b></p><ul><li><p>A Great Place to work.</p></li><li><p>Equal opportunity employer</p></li><li><p>Fast track growth opportunities</p></li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p><b><span>How We Get Things Done…</span></b></p><p></p><p><span>This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at </span><a rel="noopener noreferrer" target="_blank" href="http://www.wbd.com/guiding-principles/"><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span style="word-break: break-word; word-wrap: break-word; display: inline; text-decoration: inherit; hyphens: auto; -webkit-hyphens:auto; -ms-hyphens: auto; -moz-hyphens: auto;">www.wbd.com/guiding-principles/</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></a><span> along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.</span></p><p style="text-align:inherit"></p><p style="text-align:left"><b><span>Championing Inclusion at WBD</span></b></p>Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><span>If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our </span><a rel="noopener noreferrer" target="_blank" href="https://careers.wbd.com/global/en/accessibility">accessibility page</a><span> for instructions to submit your request.</span></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p></div>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

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Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

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Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

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Hyperconnect is seeking a Sr. Machine Learning Engineer to join its MG AI team.  The team is responsible for developing and applying AI solutions for various products within Match Group, including Tinder and Hinge.  As a Sr. Machine Learning Engineer, you will play a crucial role in shaping the future of social discovery.  Responsibilities include researching and developing cutting-edge machine learning models, addressing various AI challenges, and collaborating with cross-functional teams to integrate AI solutions into products.  You will have the opportunity to work with large-scale datasets, explore innovative technologies such as large language models and vision-language models, and contribute to building an AI flywheel for continuous improvement.

<div class="section page-centered" data-qa="job-description"><div><b style="font-size: 24px;">MG AI 소개</b></div><div><br></div><div>MG AI는 하이퍼커넥트의 AI 기술을 활용하여 Tinder, Hinge를 비롯한 매치그룹의 다양한 제품에 기여하고 있습니다. 또한 기존의 기술로는 접근하기 어렵지만 머신러닝 기술을 통해 풀 수 있는 문제들을 찾아내고 해결하여 사용자 경험을 혁신합니다. 이를 위해 사용자들이 자신을 더 잘 표현할 수 있도록 돕는 도구를 만들고, 의미 있는 만남을 발견하는 과정에서 더 만족스러운 경험을 제공할 수 있는 새로운 기능들을 개발하고 있습니다.</div><div><br></div><div><br></div><div><b style="font-size: 24px;">MG AI ML Team 소개</b></div><div><br></div><div>ML Team은 사용자들에게 더 나은 경험을 제공하기 위해 모바일과 서버 환경에서 자연어 처리, 이미지 분석, 추천 시스템 등 다양한 분야의 AI 기술을 적극적으로 활용하여 연구 개발을 진행합니다. </div><div><br></div><div>이를 위해 함께 다음과 같은 문제를 해결할 수 있는 분들을 찾고 있습니다.</div><div>•&nbsp;Multi-modal 데이터를 효과적으로 활용하는 문제</div><div>•&nbsp;서로 다른 도메인에서 수집된 데이터 간 차이를 극복하는 domain adaptation 문제</div><div>•&nbsp;Multi-task 혹은 multi-label 분류 모델링에 대한 문제</div><div>•&nbsp;텍스트 및 이미지 요약과 평가 방법에 대한 문제</div><div>•&nbsp;추천 시스템에서 발생하는 diversity 및 long-tail 문제</div><div>•&nbsp;large language models 혹은 vision-language models을 활용한 새로운 피쳐 개발과 이를 위한 대규모 모델 학습, 튜닝 및 서빙 문제</div><div><br></div><div><br></div><div>MG AI에서는 제품에 포함되는 AI 기술을 연구하기 위한 노력들도 꾸준히 진행하고 있습니다. </div><div>다양한 prototyping을 진행하여 빠르게 기술의 실현 가능성을 판단하고, 제품화 이후 시스템의 지속적인 개선과 성장을 이끄는 AI flywheel을 구축하기 위해 다음과 같은 방법들을 찾아낼 수 있는 분들을 찾고 있습니다.</div><div><br></div><div>• Highly imbalanced 또는 noisy label 데이터를 다루는 방법</div><div>• 모델 요구사항이 지속적으로 변화하거나 초기 데이터가 부족한 상황에 대응할 수 있는 meta learning 방법</div><div>• 모바일 환경에서 짧은 latency를 유지하면서도 높은 성능을 달성하는 경량 모델과 최적화</div><div>• Large scale model을 학습하고, 실제 서비스 환경에서 초당 수백 또는 수천 개의 입력을 안정적으로 처리할 수 있도록 할 수 있는 modeling, optimization 및 distillation 방법</div><div>• 기존에 배포된 모델을 지속적으로 개선할 수 있는 continual/life-long learning 방법</div><div><br></div><div><br></div><div><b style="font-size: 24px;">ML Engineer 소개</b></div><div><br></div><div>ML Engineer는 최첨단의 모델을 연구하고 개선하는 과학자로서의 연구 능력과, 만들어진 모델의 시간/공간적 복잡도를 고려해 추론 성능을 극한으로 끌어올리는 공학자로서의 개발 능력이 필요합니다. </div><div>이런 능력을 바탕으로 실제 서비스에서 겪는 문제를 발견/정의하고, 문제해결을 위한 SotA 모델을 재현 또는 개발하고, 모델을 온디바이스 및 서버 환경에 배포하고, 이후 모니터링하며 지속적으로 모델을 개선하는 AI flywheel 을 구축하는 등 다양한 업무를 수행합니다. 이 과정에서 백엔드/프론트엔드/DevOps 엔지니어, 데이터 분석가, PM 등 다양한 전문조직과 적극적으로 협업하며 도움을 받습니다. </div><div><br></div><div>일하는 모습에 대한 조금 더 자세한 이야기는 다음의 내용을 참고하시면 좋습니다.</div><div>•<span style="font-size: 20px;">&nbsp;</span><a rel="noopener noreferrer" class="postings-link" href="https://speakerdeck.com/shurain/ai-in-social-discovery-blending-research-and-production">AI in Social Discovery(Blending Research and Production)</a></div><div>•<span style="font-size: 20px;">&nbsp;</span><a rel="noopener noreferrer" class="postings-link" href="https://career.hyperconnect.com/post/64d1ffea7b0f3d00016fc4e7">[How AI Lab Works] Head of AI - Shurain 인터뷰</a></div><div><br></div><div><br></div><div>연구의 결과물을 정리하여 논문 혹은 코드로 공개하는 것 또한 팀 목표 중 하나입니다. </div><div>제품에 사용하기 위한 목적으로 머신러닝 모델을 만들다 보면, 기존 연구로는 부족한 경우가 많습니다. 부족한 부분을 채우기 위해 진행된 연구의 결과물을 프로젝트 참여자들이 모두 함께 협업하여 연구의 의미 있는 부분을 정돈하고 가능하다면 코드와 함께 공개합니다. 그 결과, 지금까지 아래와 같은 대외적 연구 성과를 거둘 수 있었습니다.</div><div>- 2024년 <a rel="noopener noreferrer" class="postings-link" href="https://arxiv.org/abs/2410.18087">CUPID: 1:1 소셜 디스커버리 플랫폼을 위한 실시간 세션 기반 상호 추천 시스템 ICDM Workshop 발표</a></div><div>- 2023년 <a rel="noopener noreferrer" class="postings-link" href="https://openaccess.thecvf.com/content/ICCV2023/html/Kye_TiDAL_Learning_Training_Dynamics_for_Active_Learning_ICCV_2023_paper.html">TiDAL: 효율적인 학습 과정의 모델 행동에 기반한 액티브 러닝 기법 ICCV 2023 게재</a></div><div>- 2023년 <a rel="noopener noreferrer" class="postings-link" href="https://dl.acm.org/doi/abs/10.1145/3539597.3570439">모더레이션 환경에서 여러 분류 기준을 동시에 만족하기 위한 문턱값을 잡는 연구 WSDM 2023 게재</a></div><div>- 2022년 <a rel="noopener noreferrer" class="postings-link" href="https://aclanthology.org/2022.findings-emnlp.66/">대화 생성에서의 의미적 다양성을 높이는 연구 EMNLP 2022 게재</a></div><div>- 2022년 <a rel="noopener noreferrer" class="postings-link" href="https://link.springer.com/chapter/10.1007/978-3-031-19806-9_41">레이블 노이즈가 심한 환경에서 효과적으로 학습하는 방법 ECCV 2022 게재</a></div><div>- 2022년 <a rel="noopener noreferrer" class="postings-link" href="https://openreview.net/forum?id=rb4gLbiNil9">타깃 캐릭터의 몇가지 발화만을 이용하여 타깃 캐릭터를 모방하는 챗봇연구 NAACL 2022 게재</a></div><div>- 2022년 <a rel="noopener noreferrer" class="postings-link" href="https://aclanthology.org/2022.nlp4convai-1.18/">대화 생성 모델에서 예시를 활용하여 성능을 높이는 연구 ACL 2022 Workshop 발표</a></div><div>- 2022년 <a rel="noopener noreferrer" class="postings-link" href="https://arxiv.org/abs/2110.14131">모바일 환경에서 오디오 분류를 위한 distillation 기술 연구 ICASSP 게재</a></div><div>- 2021년 <a rel="noopener noreferrer" class="postings-link" href="https://ieeexplore.ieee.org/abstract/document/9679881">클릭률 예측을 위한 중요도 보존이 가능한 피쳐 정규화 연구 ICDM Workshop Best Paper 수상</a></div><div>- 2021년&nbsp;<a rel="noopener noreferrer" class="postings-link" href="https://arxiv.org/abs/2104.07553">Tabular Learning 기반 효율적인 Click-Through Rate Prediction 모델 ICLR 2021 Workshop 발표</a></div><div>- 2021년&nbsp;<a rel="noopener noreferrer" class="postings-link" href="https://arxiv.org/abs/2108.12582">효율적인 Retriever기반 Chatbot을 위한 Large-Scale Generative 모델 활용 연구 EMNLP 2021 게재</a></div><div>- 2020년 <a rel="noopener noreferrer" class="postings-link" href="https://arxiv.org/abs/2012.00321?fbclid=IwAR0PjlCywQFDOVtLBZTRoOf2IQU0wbI2RzrSQ23F-GuKbrD4iLcxRH4MywY">Long-tailed Visual Recognition 문제를 Label distribution shift 관점에서 해결하는 기술 CVPR 2021 게재</a></div><div>- 2020년&nbsp;<a rel="noopener noreferrer" class="postings-link" href="https://hyperconnect.github.io/Attentron/">퓨샷 러닝을 통한 Text-to-Speech(TTS) 기술 INTERSPEECH 2020 게재</a></div><div>- 2019년&nbsp;<a rel="noopener noreferrer" class="postings-link" href="https://hyperconnect.github.io/MarioNETte/">퓨샷 러닝을 통한 안면 재현 기술 AAAI 2020 게재</a></div><div>- 2019년&nbsp;<a rel="noopener noreferrer" class="postings-link" href="https://arxiv.org/abs/1904.03814">모바일에서 빠르게 동작하는 키워드 스팟팅 모델(TC-ResNet) INTERSPEECH 2019 게재</a></div><div>- 2019년&nbsp;<a rel="noopener noreferrer" class="postings-link" href="https://arxiv.org/abs/1904.03816v1">모바일 환경에 최적화된 경량 이미지 세그멘테이션 모델(MMNet) 아카이브 업로드</a></div><div>- 2018년 저전력 이미지 인식 대회(LPIRC) 2등</div><div><br></div><div>ML 연구가 잘 진행되기 위해서는 딥러닝 학습을 위한 인프라도 잘 갖추어져야합니다. </div><div>하이퍼커넥트에서는 ML Engineer들이 충분히 모델 개발 및 실험을 진행할 수 있도록 자체적인 딥러닝 연구용 클러스터를 구축하여 활용하고 있습니다. <a rel="noopener noreferrer" class="postings-link" href="https://hyperconnect.github.io/2020/12/21/deep-learning-cluster-1.html">DGX-A100 20대로 구성된 클러스터(총 160대의 A100 GPU)</a>를 사용할 수 있으며,를 포함한 다양한 on-premise 장비들을 연구개발에 활용할 수 있습니다. 추가적으로, 데이터 수집, 전처리를 포함한 자체적인 데이터 파이프라인을 클라우드 서비스를 활용하여 구축 및 운영하고 있습니다. 또, ML 모델의 제품화를 도와주실 다양한 소프트웨어 엔지니어 (백엔드/프론트엔드/DevOps/MLSE)분들과 함께 일하고 있습니다.</div></div><div class="section page-centered"><div><h3>Required Qualifications</h3><ul class="posting-requirements plain-list"><ul><li>AI/ML 도메인 전반에 대한 이해와 적어도 한 개 이상의 특정 도메인에 대한 깊이 있는 지식을 갖추고, 3년 이상의 관련 프로젝트 경험이 있으신 분</li><li>AI 기술의 서비스화에 관심이 많고 실제 서비스에 AI 기술을 통합하여 주요 지표를 유의미하게 향상시켜 본 경험이 있으신 분</li><li>여러 직군의 이해관계자와 협업할 수 있는 강력한 커뮤니케이션 능력을 갖추신 분</li><li>보통의 방법으로 풀 수 없는 엔지니어링 제약 조건을 AI 모델링 능력과 소프트웨어 엔지니어링 전반에 대한 깊은 수준의 이해를 바탕으로 해결할 수 있는 역량을 갖춘 분</li><li>지속적인 주도적 학습을 통해 팀의 AI/ML을 포함한 기술적 경쟁력을 만들고 유지하게 도와주실 수 있는 분</li><li>다른 ML 관련 직군 엔지니어의 성장을 도와본 경험이 있거나, 관련한 역량을 갖추신 분</li><li>학위나 국적은 무관하되 한국어로 원활한 의사소통이 가능한 분</li></ul></ul></div></div><div class="section page-centered"><div><h3>Preferred Qualifications</h3><ul class="posting-requirements plain-list"><ul><li>기계학습 관련 탑티어 학회 및 저널 (NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD 등) 게재 실적 혹은 AI 관련 대회 수상 실적이 있으신 분</li><li>AI/ML 도메인 전반에 대한 방대한 지식을 자랑할 수 있으신 분</li><li>기계학습 관련 오픈 소스 개발에 참여해 본 경험이 있으신 분</li><li>클라이언트(Android, iOS), 백엔드를 포함해 AI/ML 분야 외 개발 경험이 풍부하신 분</li><li>A/B 테스트 실험 기획 및 타겟 KPI 지표를 정의하고, SQL기반 데이터 분석을 진행한 경험이 있으신 분</li><li>인과관계 분석 및 기타 통계 기법을 사용하여 데이터에서 의미 있는 통찰력을 발굴하고 의사결정에 활용해본 경험이 있으신 분</li><li>머신러닝 워크플로우의 자동화 경험이 있으신 분 (AutoML, hyperparameter optimization, 데이터 및 학습 파이프라인 구성 등)</li><li>영어로 원활한 의사소통이 가능하신 분</li><li>엔지니어링 팀을 리드해본 경험이 있으신 분</li></ul></ul></div></div><div class="section page-centered" data-qa="closing-description"><div>하이퍼커넥트가 채용하는 포지션에 지원하는 경우, 개인정보 처리에 관하여서는 본 개인정보처리방침이 적용됩니다:&nbsp;<a class="postings-link" href="https://career.hyperconnect.com/privacy">https://career.hyperconnect.com/privacy</a></div><div><br></div><div><br></div><div><span style="font-size: 10px;">#HPCNT</span></div></div>