-Legal Entity: Hyperconnect -Brand: Match Group AI
About Match Group AI Match Group AI is a centralized technology organization that solves core online dating challenges using AI. We focus on key areas of the user experience, such as profiles, matching, and Trust & Safety, to identify and tackle complex problems. We innovate the user experience by solving these challenges through cutting-edge AI technology and data-driven approaches. Furthermore, we expand the group's common technical foundation through collaboration with global dating brands within Match Group, such as Tinder and Hinge.
If you would like to learn more about the projects our team is working on, please check out the following post: ๐ "Introducing the Match Group AI Team."
About the Match Group AI ML Team The ML Team consists of ML Engineers who apply AI/ML technologies to various Match Group services. Our work begins by identifying and defining problems that arise during the creation and operation of real-world products. We develop or reproduce the most suitable State-of-the-Art (SotA) models for problem-solving and deploy the completed models stably and efficiently into mobile and server environments. We then build an AI Flywheel for our services through continuous monitoring and improvement. In this process, we collaborate closely with various specialized organizations, including backend/frontend/DevOps engineers, data analysts, and PMs, to create AI experiences that make a real impact on users. For more details on how we work, please refer to the following:
- [How AI Lab Works] Head of AI - Shurain Interview
- AI in Social Discovery(Blending Research and Production)
Some of our work results are published externally as research papers or open-source code. When building ML models for product use, existing research is often insufficient. To fill these gaps, project participants collaborate to refine the meaningful parts of the research and, whenever possible, release the results along with the code. As a result, we have achieved approximately 20 external research accomplishments, including the following:
- 2024 CUPID: Real-time Session-based Reciprocal Recommendation System for 1:1 Social Discovery Platforms, presented at ICDM Workshop
- 2023 TiDAL: Active Learning based on Model Behavior in Efficient Training Processes, published in ICCV 2023
- 2023 Research on setting thresholds to satisfy multiple classification criteria simultaneously in moderation environments, published in WSDM 2023
- 2022 Research on increasing semantic diversity in dialogue generation, published in EMNLP 2022
- 2022 Research on effective learning methods in environments with severe label noise, published in ECCV 2022
- 2022 Research on chatbots that mimic target characters using only a few utterances, published in NAACL 2022
- 2022 Research on improving performance in dialogue generation models using examples, presented at ACL 2022 Workshop
- 2022 Research on distillation techniques for audio classification in mobile environments, published in ICASSP
For ML research to progress well, the infrastructure for deep learning training must be well-equipped. We possess our own deep learning cluster (a total of 160 A100 GPUs and 40 H100 GPUs) so that ML engineers can sufficiently conduct model development and experiments. Additionally, we build and operate our own data pipelines, including data collection and preprocessing, using cloud services. We also work with various software engineers (backend/frontend/DevOps/MLSE) who help productize our ML models.
Responsibilities An ML Engineer at Match Group AI is both a scientist who researches and applies the latest AI/ML technologies and an engineer who designs and optimizes models and systems for real-world service environments. Our organization handles a variety of tasks, and we are looking for someone who can proficiently perform at least one of the following:
- Solve various business problems arising from products serviced by Match Group. This involves understanding the background, goals, and constraints of business problems, redefining them as correct AI/ML problems, and finding and executing the best methodology to solve them.
- Participate in the development of new products and features for Match Group. This involves utilizing AI/ML technologies to quickly and correctly implement products and features, from ideation and prototyping to reaching actual users.
- Lead advanced research and development of large language models and multimodal models. This involves using Match Group's data and the latest technologies to create models specialized for the dating domain and finding ways to apply them to various areas of the product.
To perform these tasks, we expect a Sr. ML Engineer to have a solid foundation in AI/ML and the ability to lead the team's technical decision-making based on the rapid acquisition of the latest technologies. Based on these capabilities, you will primarily lead the following technical topics:
- Methods for correctly handling data with various modalities, including text, images, and event logs, and methods for correctly resolving bias and noise in collected data.
- Defining evaluation metrics aligned with product goals and optimal model training methods to achieve those goals.
- Methods for on-device and large-scale model inference optimization, considering engineering constraints and infrastructure environments.
Requirements
- Understanding of the overall AI/ML domain and in-depth knowledge of at least one specific domain, with a Ph.D. in a related field, 5+ years of industrial project experience, or equivalent capabilities.
- Ability to define ambiguous business or technical problems as correct AI/ML problems and solve them based on rational technical decision-making.
- Ability to quickly perform development using open-source frameworks such as PyTorch, Tensorflow, JAX, and general Python, and manage high-quality code for collaboration and maintenance.
- Ability to design stable ML training pipelines and deployment processes.
- Ability to constantly explore and share new technologies and help the team maintain a high level of AI/ML technical competitiveness.
- Ability to lead technical decision-making in AI projects involving two or more ML Engineers.
- Excellent communication skills to collaborate with stakeholders from various job functions.
- Ability to communicate fluently in Korean and basic communication in English.
Preferred Qualifications
- Track record of publications in top-tier AI/ML conferences and journals (NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD, etc.) or awards in related competitions.
- Experience leading the entire process of training LLMs or models of similar scale and achieving results.
- Large-scale software development experience and engineering capabilities required for architecture/system design.
- Ability to plan A/B test experiments, correctly define target KPIs, and perform professional SQL-based data analysis.
- Ability to uncover meaningful insights from data using causal analysis and other statistical techniques and apply them correctly to decision-making.
- Experience leading an engineering team.
- PO/PM or equivalent experience.
- Proficiency in real-time business communication in English.
Hiring Process
- Employment Type: Full-time
- Hiring Process: Document Screening > Pre-assignment > Live Coding Interview > Technical Interview > In-depth Technical & Cultural Alignment Interview > Final Offer (* The process may be changed if necessary.)
- Document screening results will be notified individually to successful candidates.
- Application Documents: Detailed resume based on experience in free format (PDF).
- This position is eligible for the transfer of "Professional Research Personnel" (Jeon-jik). For those under military service exemption, service management will be conducted in accordance with relevant laws.
If there is any false information in the submitted documents or if there are grounds for disqualification for employment under relevant laws, the offer may be canceled. If necessary, additional screening and document verification may be conducted in addition to the previously announced hiring process.
- Veterans are given preference in accordance with relevant laws; please notify us when applying and submit supporting documents upon hiring.
- When applying for a position at Hyperconnect, this Privacy Policy applies regarding the processing of personal information: https://career.hyperconnect.com/privacy
#HPCNT