- Tanjong Pagar Central Region (Singapore) Singapore
Kerja Sepenuh Masa Senior Interactive Vision Model Researcher, Gaji tinggi SGD 15,000 di L&Q OASIS PTE. LTD. Central Region (Singapore) - Maukerja
Senior Interactive Vision Model Researcher
L&Q OASIS PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Roles & Responsibilities
1.Design and iterate on the next-generation video generation foundation architecture.
2.Explore core technologies for long video generation, including long-context attention, KV Cache compression, and memory mechanisms.
3.Research high-compression-ratio video tokenizers and advance unified modeling capabilities for multi-resolution and multi-frame-rate videos.
4.Lead video pre-training at the ************* billion token scale, defining data mixture and curriculum learning strategies.
5.Explore Scaling Laws, define scientific scale-up paths, and continuously improve key model capabilities.
6.Track industry state-of-the-art , lead comparative experiments, drive technical roadmap decisions, and publish academic papers.
Skills Required:
************* AI-related fields with first-author papers at top-tier conferences.
2.Proficient in the principles and engineering implementation of diffusion models and auto regressive generation.
3.Experience training video/image generation models from scratch; highly proficient inPyTorch and large-scale distributed training.
4.Deep understanding of the design trade-offs in Video VAE/Tokenizers, with 3+ yearsof relevant research experience.
5.Publications related to video generation or diffusion models.
6.Experience in core industry product R&D or hands-on experience with the latest technologies is preferred.
7.Experience leading end-to-end video foundation model projects is preferred.
1.Design and iterate on the next-generation video generation foundation architecture.
2.Explore core technologies for long video generation, including long-context attention, KV Cache compression, and memory mechanisms.
3.Research high-compression-ratio video tokenizers and advance unified modeling capabilities for multi-resolution and multi-frame-rate videos.
4.Lead video pre-training at the ************* billion token scale, defining data mixture and curriculum learning strategies.
5.Explore Scaling Laws, define scientific scale-up paths, and continuously improve key model capabilities.
6.Track industry state-of-the-art , lead comparative experiments, drive technical roadmap decisions, and publish academic papers.
Skills Required:
************* AI-related fields with first-author papers at top-tier conferences.
2.Proficient in the principles and engineering implementation of diffusion models and auto regressive generation.
3.Experience training video/image generation models from scratch; highly proficient inPyTorch and large-scale distributed training.
4.Deep understanding of the design trade-offs in Video VAE/Tokenizers, with 3+ yearsof relevant research experience.
5.Publications related to video generation or diffusion models.
6.Experience in core industry product R&D or hands-on experience with the latest technologies is preferred.
7.Experience leading end-to-end video foundation model projects is preferred.
Peringatan Penting
Jangan pernah kongsikan maklumat bank atau kad kredit anda semasa memohon pekerjaan. Elakkan membuat sebarang pembayaran atau mengisi survey yang tidak berkaitan. Jika ada yang mencurigakan, sila laporkan iklan pekerjaan ini segera.
Lebih Lanjut