Member of Technical Staff - ML Research Engineer; Multi-Modal - Audio
Liquid AI(1 month ago)
About this role
The Member of Technical Staff - ML Research Engineer at Liquid focuses on developing and prototyping new model architectures for multimodal tasks, particularly involving audio data. This role requires expertise in machine learning, specifically with audio models, as well as proficiency in PyTorch and distributed training frameworks. Responsibilities include building scalable pipelines for data preprocessing, optimizing model training on GPU clusters, and collaborating with interdisciplinary teams to drive high-impact implementations and contributions to research publications.
Required Skills
- Machine Learning
- Audio Models
- PyTorch
- Distributed Training
- DeepSpeed
- FSDP
- Megatron-LM
- Multimodal Data
- Research Papers
- Open-Source Projects
+15 more
About Liquid AI
liquid.aiLiquid AI is a technology company that specializes in creating efficient, general-purpose AI solutions at scale. They offer Liquid Foundation Models (LFMs), which are a new class of generative AI that deliver state-of-the-art performance while maintaining a smaller memory footprint and efficient inference capabilities. Their product suite includes the LEAP platform for edge AI deployment, and Apollo, a private AI chat application aimed at delivering AI functionality across devices. With a focus on customizability and effective deployment, Liquid AI aims to empower businesses and individuals with advanced AI tools.
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