2 дня назад
Lead ML Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead ML Engineer (AI): Driving technical direction for training infrastructure and operations for multimodal video-language models. Focus on designing scalable end-to-end training pipelines, optimizing distributed systems in high-performance GPU environments, and mentoring engineers to translate research into production-grade systems.
Company
builds the intelligence layer for video, creating multimodal AI models that understand video across sight, sound, and motion for production-scale workloads.
What you will do
- Drive technical direction for training infrastructure and operations within the Pegasus video-language model team.
- Design and evolve scalable end-to-end training pipelines with a focus on reliability, reproducibility, and efficiency.
- Lead technical decision-making across data curation, evaluation pipelines, and ML infrastructure.
- Improve and automate the training lifecycle to accelerate the research-to-production cycle.
- Mentor engineers and raise the team's execution bar through design reviews and hands-on collaboration.
Requirements
- Must be based in or able to work from Seoul, South Korea.
- Significant experience building and productionizing large-scale ML systems as a hands-on individual contributor.
- Strong experience with large-scale distributed training systems, training infrastructure, or data processing pipelines.
- Strong foundations in machine learning and experience with multimodal systems (vision, language, or video).
- Track record of mentoring engineers and creating technical leverage.
Nice to have
- Experience building infrastructure for large-scale data curation or evaluation workflows.
- Experience optimizing distributed training systems in high-performance GPU environments.
- Experience working with cutting-edge accelerator hardware.
- Master's or PhD in Machine Learning, Computer Science, or a related field.
Culture & Benefits
- Hybrid work environment balancing autonomy and collaboration.
- Annual self-development budget of 1.4 million KRW for courses, conferences, and memberships.
- Unlimited LLM token access for technical staff.
- Annual corporate card allowance of 7.2 million KRW for meals and transportation.
- Comprehensive health benefits including annual checkups, group insurance, and flu vaccinations.
- Two-week paid holiday break at the end of the year.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →