ML Research Engineer, VLM Data
Liquid AILocation🌍Worldwide
Job Type💼Full‑time
Posted📅24 days ago
Engineeringml-researchvlmllmdata-engineeringmachine-learningremote
About the Role
This is an exciting opportunity for an ML Research Engineer to play a critical role in the development of next-generation Vision-Language Models (VLMs). This full-time, remote position is open to candidates across the United States, Austria, Canada, France, Germany, Netherlands, Switzerland, and the UK.
Responsibilities
- Lead the gathering and curation of high-quality vision-language midtraining and Supervised Fine-Tuning (SFT) datasets.
- Apply advanced dataset engineering techniques, including data curation, cleaning, augmentation, and synthetic data generation.
- Develop, write, and debug machine learning models using popular ML frameworks.
Requirements
- B.S. with 5+ years, M.S. with 3+ years, or Ph.D. with 1+ year of experience in a relevant field.
- Expertise in dataset engineering, covering data curation, cleaning, augmentation, and synthetic data generation techniques.
- Strong machine learning expertise, including the ability to write and debug models in popular ML frameworks.
- Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs.
- Strong software development skills.
About Liquid AI
View companyAn MIT spin-off, Liquid AI develops efficient general-purpose AI systems and foundation models, including "liquid neural networks," designed for adaptable machine learning with minimal processing power, optimized for edge devices.
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