Member of Technical Staff - ML Research Engineer; Multi-Modal - Vision
Member of Technical Staff - ML Research Engineer; Multi-Modal - Vision
Member of Technical Staff - ML Research Engineer; Multi-Modal - Vision
Liquid AI
Liquid, a company spun out of MIT, is seeking a Member of Technical Staff - ML Research Engineer specializing in Multi-Modal Vision. The role focuses on developing efficient AI systems, particularly Liquid Foundation Models (LFMs), that operate on-device and under real-time constraints. The ideal candidate will work with interdisciplinary teams to shape model architectures and contribute to the next generation of intelligent systems.
Qualification
- Experience with machine learning at scale
- Proficient in PyTorch and familiar with distributed training frameworks like DeepSpeed, FSDP, or Megatron-LM
- Experience with multimodal data (e.g., image-text, video, visual documents, audio)
- Contributed to research papers, open-source projects, or production-grade multimodal model systems
- Understanding of data quality, augmentations, and preprocessing pipelines that impact model performance
Responsibility
- Investigate and prototype new model architectures that optimize inference speed, including on edge devices
- Lead or contribute to ablation studies and benchmark evaluations that inform architecture and data decisions
- Build and maintain evaluation suites for multimodal performance across a range of public and internal tasks
- Collaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large vision-language datasets
- Work with the infrastructure team to optimize model training across large-scale GPU clusters
- Contribute to publications, internal research documents, and thought leadership within the team and the broader ML community
- Collaborate with the applied research and business teams on client-specific use cases
