Member of Technical Staff - Post Training, Reinforcement Learning

Liquid AI

4 months ago

San Francisco, CA

Hybrid

Full Time

Senior

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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.

Skills

Qualifications

B.S. + 5 years relevant experienceM.S. + 3 years relevant experiencePh.D. + 1 year relevant experienceM.S. or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or related field

About Liquid AI

liquid.ai

Liquid 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.