[About the Role]
As a Software Engineer, you’ll be a driving force behind the creation of groundbreaking B2C and B2B services powered by our state-of-the-art generative AI models. Partnering with our world-class Research Engineers, you’ll take cutting-edge AI innovations and transform them into scalable, intuitive, and impactful products that redefine what’s possible in the real world.
In this role, you won’t just write code—you’ll help shape the future of AI-powered technology. You’ll tackle multifaceted challenges, architect solutions at scale, and see your work directly impact users across industries. If you’re someone who thrives at the intersection of creativity and engineering, who relishes complex problem-solving, and who wants to build products that push boundaries, this is the opportunity for you.
Join a passionate team of researchers, developers, and innovators, and play a pivotal role in turning cutting-edge AI into solutions that inspire and empower the world. Together, we’ll create the future.
[Scope of Responsibilities]
- Infrastructure
- Machine learning system
- Inference
- GPU Programming
- Training
- Data Engineering
- Backend
- Frontend
- MLOps
You will
- (Infrastructure /Training) Design, build, and operate the infrastructure/large-scale compute clusters that enables model development and product operation.
- (Infrastructure/Machine Learning System/Training/GPU Programming) Maximize training throughput and researcher throughput.
- (Infrastructure/Data Engineering) Work to deliver powerful APIs orchestrating thousands of computers moving and persisting vast amounts of data.
- (Infrastructure/Machine Learning System/ Inference/GPU Programming) Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models.
- (Machine Learning System/Inference/GPU Programming) Profile models to analyze performance and power efficiency of deep learning inference workloads.
- (Infrastructure/Machine Learning System) Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems.
- (Backend/Frontend) Build and ship new experiences that push the boundaries of research and product innovation to create a useful, delightful AI assistant in every user’s pocket.
- (Backend) Design, develop, and maintain robust, scalable, and efficient server-side logic for applications.
- (Frontend) Develop responsive and user-friendly web or mobile interfaces based on design mockups and wireframes.
- (MLOps/Data Engineering) Design, build, and operate MLOps systems that can help you efficiently train, infer, and evaluate models.
[Benefits]
- Annual welfare points (KRW 2,000,000)
- Equipment support provided upon joining
- Flexible working hours & remote work options
- Annual health checkup (for employee and one immediate family member)
- Half-day birthday leave
- Support for employee hobby groups (e.g., board games, escape rooms, climbing)
- Office snacks and beverages provided
- Year-end office closure (28-31 December every year)
[Recruitment Process]
- Resume→ 1st Interview → Final Interview → Offer Discussion → You're in!
[About the Role]
As a Software Engineer, you’ll be a driving force behind the creation of groundbreaking B2C and B2B services powered by our state-of-the-art generative AI models. Partnering with our world-class Research Engineers, you’ll take cutting-edge AI innovations and transform them into scalable, intuitive, and impactful products that redefine what’s possible in the real world.
In this role, you won’t just write code—you’ll help shape the future of AI-powered technology. You’ll tackle multifaceted challenges, architect solutions at scale, and see your work directly impact users across industries. If you’re someone who thrives at the intersection of creativity and engineering, who relishes complex problem-solving, and who wants to build products that push boundaries, this is the opportunity for you.
Join a passionate team of researchers, developers, and innovators, and play a pivotal role in turning cutting-edge AI into solutions that inspire and empower the world. Together, we’ll create the future.
[Scope of Responsibilities]
- Infrastructure
- Machine learning system
- Inference
- GPU Programming
- Training
- Data Engineering
- Backend
- Frontend
- MLOps
You will
- (Infrastructure /Training) Design, build, and operate the infrastructure/large-scale compute clusters that enables model development and product operation.
- (Infrastructure/Machine Learning System/Training/GPU Programming) Maximize training throughput and researcher throughput.
- (Infrastructure/Data Engineering) Work to deliver powerful APIs orchestrating thousands of computers moving and persisting vast amounts of data.
- (Infrastructure/Machine Learning System/ Inference/GPU Programming) Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models.
- (Machine Learning System/Inference/GPU Programming) Profile models to analyze performance and power efficiency of deep learning inference workloads.
- (Infrastructure/Machine Learning System) Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems.
- (Backend/Frontend) Build and ship new experiences that push the boundaries of research and product innovation to create a useful, delightful AI assistant in every user’s pocket.
- (Backend) Design, develop, and maintain robust, scalable, and efficient server-side logic for applications.
- (Frontend) Develop responsive and user-friendly web or mobile interfaces based on design mockups and wireframes.
- (MLOps/Data Engineering) Design, build, and operate MLOps systems that can help you efficiently train, infer, and evaluate models.
[Benefits]
- Annual welfare points (KRW 2,000,000)
- Equipment support provided upon joining
- Flexible working hours & remote work options
- Annual health checkup (for employee and one immediate family member)
- Half-day birthday leave
- Support for employee hobby groups (e.g., board games, escape rooms, climbing)
- Office snacks and beverages provided
- Year-end office closure (28-31 December every year)
[Recruitment Process]
- Resume→ 1st Interview → Final Interview → Offer Discussion → You're in!