Match Group

Machine Learning Research Engineer (HYPERCONNECT AI | Military Service Exemption for R&D Personnel Transfer/Switch Possible)

Senior Strategist

Software Engineer, iOS

Sr. Anti Abuse Analyst

Sr. Machine Learning Research Engineer (HYPERCONNECT AI)

Associate Marketing Manager (Australia)

Corporate Paralegal (Dallas)

Backend Engineer

Senior Safety by Design Advisor, Trust & Safety

AI Lab at Hyperconnect innovates user experience by identifying and solving problems in connecting people that are difficult to approach with existing technologies but can be solved with machine learning. They develop numerous models across various domains (video/audio/NLP/recommendation), provide them stably via mobile and cloud servers, and aim for AI Lab's technology to contribute to product growth. ML Research Engineers act as scientists researching and improving cutting-edge models and engineers making technical decisions considering realistic constraints. They discover and address product issues by translating them into AI problems, collaborating with various specialized teams.

Software Engineer, Android

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">AI Lab</h2>Hyperconnect AI Lab innovates user experience by identifying and solving problems in products that connect people, which are difficult to approach with existing technologies but can be solved with machine learning.To this end, we aim for the technology created by AI Lab to contribute to the growth of actual products by developing numerous models in various domains, including video/audio/natural language/recommendation, and solving problems encountered while stably providing them through mobile and cloud servers.Under this goal, Hyperconnect AI Lab has been developing machine learning technologies that contribute to Hyperconnect's products, including Azar, for several years.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">ML Research Engineer Role Introduction</h2>An ML Research Engineer at AI Lab requires research capabilities as a scientist who researches and improves cutting-edge models, and engineering capabilities as an engineer who makes technical decisions by comprehensively considering realistic constraints.Based on these capabilities, they discover/listen to problems encountered in actual products, translate them into AI problems, and solve them.In this process, they actively collaborate with and receive help from various specialized organizations such as backend/frontend/DevOps/ML software engineers, data scientists/analysts, and PMs. For more detailed stories about how we work, please refer to the following:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><a href="https://speakerdeck.com/shurain/ai-in-social-discovery-blending-research-and-production" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">AI in Social Discovery(Blending Research and Production)</a></li><li class="leading-relaxed">[[How AI Lab Works] Head of AI - Shurain Interview](https://career.hyperconnect.com/post/64d1ffea7b0f3d00016fc4e7)</li></ul>ML Research Engineers view the product problem-solving process as a research process. They proactively manage the A-Z of the problem-solving process, from problem definition, stakeholder persuasion, goal setting, deriving SotA models, schedule management, performance analysis, to future strategy setting.They define priorities considering user needs and business impact, and contribute to product growth from an AI perspective with a long-term vision.Some of the work achievements are also published externally as papers or open-source code. When creating ML models for product use, existing research is often insufficient. To fill these gaps, the results of the research are collaboratively organized by all project participants, and if possible, released with code. As a result, we have achieved about 20 external research achievements to date, including the following:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">2024: <a href="https://arxiv.org/abs/2410.18087" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">CUPID: Real-time session-based reciprocal recommendation system for 1:1 social discovery platforms presented at ICDM Workshop</a></li><li class="leading-relaxed">2023: <a href="https://openaccess.thecvf.com/content/ICCV2023/html/KyeTiDALLearningTrainingDynamicsforActiveLearningICCV2023paper.html" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">TiDAL: Active learning technique based on model behavior during efficient training published at ICCV 2023</a></li><li class="leading-relaxed">2023: <a href="https://dl.acm.org/doi/abs/10.1145/3539597.3570439" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Research on setting thresholds to satisfy multiple classification criteria simultaneously in a moderation environment published at WSDM 2023</a></li><li class="leading-relaxed">2022: <a href="https://aclanthology.org/2022.findings-emnlp.66/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Research on increasing semantic diversity in dialogue generation published at EMNLP 2022</a></li><li class="leading-relaxed">2022: <a href="https://link.springer.com/chapter/10.1007/978-3-031-19806-941" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Effective learning method in environments with severe label noise published at ECCV 2022</a></li><li class="leading-relaxed">2022: <a href="https://openreview.net/forum?id=rb4gLbiNil9" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Chatbot research mimicking a target character using only a few utterances from the target character published at NAACL 2022</a></li><li class="leading-relaxed">2022: <a href="https://aclanthology.org/2022.nlp4convai-1.18/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Research on improving performance by utilizing examples in dialogue generation models presented at ACL 2022 Workshop</a></li><li class="leading-relaxed">2022: <a href="https://arxiv.org/abs/2110.14131" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Research on distillation technology for audio classification in mobile environments published at ICASSP</a></li></ul>To solve business problems with AI, a proper infrastructure for deep learning training must also be in place. At Hyperconnect, we have built and utilize our own deep learning research cluster to allow ML Research Engineers to sufficiently develop models and conduct experiments.Various on-premise equipment, including <a href="https://hyperconnect.github.io/2020/12/21/deep-learning-cluster-1.html" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">a total of 160 A100 GPUs and multiple H100 GPUs</a>, can be used for research and development. Additionally, we have built and operate our own data pipeline, including data collection and preprocessing, using cloud services.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Contents Understanding Role Introduction</h2>In the contents understanding work at AI Lab, we focus on extracting useful information for business by taking unstructured data consisting of video, images, audio, and natural language as input, with the main goal of contributing to Trust & Safety operations through moderation (<a href="https://career-ai-recruit-2023.hpcnt.com/interview/trust-and-safety-squad" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Interview</a>). We contribute to understanding content generated across Hyperconnect and Match Group brands and perform various tasks in collaboration with Match Group to meet global Trust & Safety standards. To this end, we are very interested in addressing the following AI problems:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lightweight model design and optimization techniques that can achieve high accuracy while maintaining short latency and low power consumption in mobile and web environments.</li><li class="leading-relaxed">Active learning, core-set selection, semi-/self-supervised learning methods to track and manage label quality in noisy and imbalanced data, and secure performance with minimal labeling.</li><li class="leading-relaxed">Multi-task or multi-label classification optimization within a limited parameter budget, and modeling techniques that integrate multi-modal information such as text, images, and video.</li><li class="leading-relaxed">Domain adaptation to overcome distribution differences between domains, and meta-learning techniques for service scalability.</li><li class="leading-relaxed">Learning methods to ensure Fairness and Privacy to meet international AI standards.</li><li class="leading-relaxed">Streaming-based modeling that utilizes user behavior logs and content analysis information to detect or predict abnormal behavior such as spam and fake accounts in real-time.</li><li class="leading-relaxed">LLM utilization methods to innovate ML production processes.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Requirements</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Understanding of the entire AI/ML domain and in-depth knowledge of at least one specific domain.</li><li class="leading-relaxed">Strong interest in productizing AI technology.</li><li class="leading-relaxed">Problem-solving skills using AI and project management skills for this purpose.</li><li class="leading-relaxed">Sufficient Python development skills, including development capabilities based on open-source frameworks such as Tensorflow, PyTorch, CatBoost, JAX.</li><li class="leading-relaxed">Ability to take strong ownership and complete projects from A-Z.</li><li class="leading-relaxed">Strong communication skills to collaborate with stakeholders from various job functions.</li><li class="leading-relaxed">Engineering capabilities to understand the software development structure and content of ML systems and plan features.</li><li class="leading-relaxed">Ability to discover statistical characteristics and patterns in data and apply them to AI problem-solving.</li><li class="leading-relaxed">Understanding of A/B testing and SQL-based data analysis skills.</li><li class="leading-relaxed">Regardless of academic background or nationality, fluent communication in Korean is required.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Preferred Qualifications</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Publication record in top-tier machine learning conferences and journals (NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD, ...) or awards in AI-related competitions.</li><li class="leading-relaxed">Extensive knowledge across the entire AI/ML domain.</li><li class="leading-relaxed">Experience integrating AI technology into actual services and significantly improving key metrics.</li><li class="leading-relaxed">Experience as a PO/PM or equivalent.</li><li class="leading-relaxed">Fluent communication in English.</li><li class="leading-relaxed">Deep understanding of causal analysis (DID, RCT, Causal Inference, etc.), multivariate testing, and Sequential Testing.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Employment Type/Recruitment Process</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Employment Type: Full-time</li><li class="leading-relaxed">Recruitment Process: Document Screening > Coding Test/Assignment > 1st Interview > Recruiter Call > 2nd Interview > Final Offer (* The process may be added or changed if necessary.)</li><li class="leading-relaxed">For document screening, only successful candidates will be notified individually.</li><li class="leading-relaxed">Application Documents: Free-form detailed English resume based on career (PDF)</li><li class="leading-relaxed">This position allows for transfer/switch to military service exemption for R&D personnel (active duty or supplementary service). For military service special exemption personnel, service management will proceed according to military service special exemption related laws.</li></ul>

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Zelis 

Cybersecurity Metrics Lead

Accenture

Application Developer

Delivery Lead Manager

Delivery Lead Senior Manager

Supply Chain Plan&Analyt Analyst

Software Development Lead

Data Governance Practitioner

Morning Star

Product Manager

Senior Application Security Architect

The Cybersecurity Metrics Lead will implement and manage security metrics across Zelis, focusing on security tools and program efficiency. This role supports the information security department in maturing its security metrics program, aligning with industry best practices and frameworks. Responsibilities include overseeing metrics creation, monitoring, and reporting across various cybersecurity practices like GRC, Cyber Defense, Architecture, IAM, and AI, and supporting executive dashboards.

Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

Manager, Enterprise Infrastructure Operations

Expert Claims Review Product Owner

Creative Manager

Business Analyst

Sr Front end engineer

Print Operator

SDET Lead/Manager, Quality Assurance (Hands-On)

Director, Strategic Communications

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Us</h3>Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Why We Do What We Do</h3>In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system.Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Position Overview</h3>The Cybersecurity Metrics Lead will help implement and manage security metrics across Zelis, security tools, and program efficiency.The Cybersecurity Metrics Lead will support the information security department build and mature our security metrics program ensuring we align with industry best practices and frameworks. The position will oversee metrics creation, monitoring, and reporting across our cybersecurity practices including GRC, Cyber Defense, Architecture, IAM, and AI.Responsibilities include:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Support the cybersecurity metrics strategy and long range planning for metrics</li><li class="leading-relaxed">Establish metrics aligning with industry regulation</li><li class="leading-relaxed">Define technical metric targets and lead development efforts</li><li class="leading-relaxed">Manage the daily / weekly collection of metrics data and generate reports</li><li class="leading-relaxed">Support for monthly and quarterly executive dashboards</li><li class="leading-relaxed">Work across cybersecurity and IT operation departments to collect and enhance metrics reporting</li></ul>The ideal candidate will have experience in the following areas:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Operational experience working across multiple cybersecurity programs and capabilities</li><li class="leading-relaxed">Experience in a healthcare and / or financial technology company</li><li class="leading-relaxed">Experience working in a variety of compliance programs (NIST / ISO / HITRUST / PCI / etc).</li><li class="leading-relaxed">Familiarity with security tooling and platforms including GRC tooling and reporting</li><li class="leading-relaxed">Expertise in building dashboards aligning with industry best practices.</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelors degree</li><li class="leading-relaxed">4+ years experience leading security metrics program</li></ul>

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Data Structures and Algorithms

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.

Programming Patterns

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Object Oriented Programming

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