Member of Technical Staff - Post Training, Reinforcement Learning
Liquid AI(2 months ago)
About this role
A Member of Technical Staff in Post Training Reinforcement Learning at Liquid is responsible for shaping the next generation of Liquid Foundation Models (LFMs) by enhancing data quality and performance. Key responsibilities include analyzing model failure modes, designing and implementing training dataset pipelines, fine-tuning models, and collaborating with a multidisciplinary ML engineering team. The role requires expertise in dataset engineering and machine learning, particularly with large language models (LLMs), along with strong Python programming skills.
Required Skills
- Dataset Engineering
- Data Curation
- Data Cleaning
- Data Augmentation
- Synthetic Data Generation
- Machine Learning
- LLM Experience
- Model Debugging
- Python Programming
- Code Maintainability
+9 more
Qualifications
- B.S. + 5 years relevant experience
- M.S. + 3 years relevant experience
- Ph.D. + 1 year relevant experience
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or related field
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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