트릴리온랩스에서 차세대 파운데이션 모델 연구 및 개발을 담당할 Member of Technical Staff를 채용합니다. 소프트웨어 엔지니어링 역량과 머신러닝 연구에 대한 열정이 필수이며, 다국어 AI 및 생성형 AI 분야의 혁신을 함께 이끌어갈 분을 찾습니다. 제한된 자원 속에서도 주도적으로 문제를 해결하고 페어 프로그래밍을 즐기는 분들의 많은 지원 바랍니다.
Full-Time
Gangnam, Seoul
We are hiring researchers and engineers who are passionate about novel approaches to develop the next generation of foundation models with a focus on targeted multi-linguality, together with us! We are looking for candidates who we believe have the potential to build great things — people who have passions in pushing the boundaries of areas such as multi-lingual AI, cross-lingual AI, generative AI, reinforcement learning,
Ideal candidates can demonstrate this by highlighting previous projects or publications related to AI that they are proud of showcasing. For candidates with strong academic backgrounds, we will be interested in your publications in venues such as NeurIPS, ICLR, ICML, IROS, ACL, EMNLP, NAACL, CVPR, ICCV, ECCV, or other peer-reviewed journals and conferences. The ability to write high quality code and having experience contributing to popular open-source software projects will be a strong asset.
Candidates will be expected to be physically based in Seoul, but we will provide assistance with the Visa application process if needed. We will be offering positions from 4-month internships, part-time student researcher (for graduate students in Korea), 1-year visiting researcher, to full time roles.
Have significant software engineering experience
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair!)
Want to learn more about machine learning research
Care about the societal impacts of your work
High performance, large-scale ML systems
GPUs, Kubernetes, Pytorch, or OS internals
Language modeling with transformers
Reinforcement learning
Large-scale ETL
Security and privacy best practice expertise
Machine learning infrastructure like GPUs/TPUs, as well as supporting networking infrastructure like NCCL
Low level systems, for example linux kernel tuning and eBPF
Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems
Trillion Labs is a scrappy startup.
With regards to the compute resources within Trillion Labs, please understand that we don’t operate hundreds of thousands of GPUs. If you are used to extremely large compute (e.g. if you have experience working on deep learning projects at Google, FAIR, Stability AI), and expect to have access to a large pool of compute resources, or also expect a professional support team for TPU/GPU clusters, this is not the place for you.
You are expected to figure things out, and work with little to achieve a lot, should you join. We want to let you know early now, to set any expectations of resources (and support of such resources), should you still want to join Trillion Labs as a Member of Technical Staff.
Candidates will be expected to be physically based in Seoul, but we will provide assistance with the Visa application process if needed. We will be offering positions from 4-month internships, part-time student researcher (for graduate students in Korea), 1-year visiting researcher, to full time roles.
If you are passionate about technology and excited about joining a forward-thinking company, we would love to hear from you! Please send your resume to **talent@trillionlabs.co** with the subject line "Member of Technical Staff Application - [Your Name]" and indicate whether you are applying for a full-time position or an internship.
