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Machine Learning Engineer at Elicit | Oakland, CA or Remote

ElicitOakland, CA (or remote within US timezones)
Remote Full-time

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What You'll DoIntegrate multiple language model calls to tackle tasks unachievable with a single call. Develop and curate datasets for model fine-tuning, particularly for extracting policy conclusions from academic papers. Establish evaluation metrics to assess model improvements and training adjustments. Enhance semantic search capabilities from a few thousand documents to over 100,000.Your BackgroundTo thrive in this role, you should possess:A robust software engineering foundation with experience in system building, architectural design, and effective abstraction.

About the job

Join Elicit as a Machine Learning Engineer

Elicit is revolutionizing scientific reasoning and decision-making by harnessing the power of language models to sift through over 125 million research papers. Our platform empowers researchers, policymakers, and industry leaders to derive evidence-based conclusions swiftly, transforming complex inquiries into actionable insights in mere minutes.

With a growing user base of hundreds of thousands, Elicit enhances the efficiency of literature reviews and systematic analyses while paving the way for machine learning systems that prioritize transparency and systematic reasoning. Our commitment to supervising the reasoning process, rather than just outcomes, leads to more defensible and understandable results, charting a safer path towards advanced AI.

We’re on a mission to create the go-to tool for tackling challenging questions, and we invite you to join us in shaping this future.

About Elicit

Elicit is at the forefront of transforming the way we engage with scientific literature. By leveraging advanced language models, we streamline the research process, allowing users to make informed decisions based on comprehensive data analysis. Our innovative approach emphasizes clarity and transparency in AI, setting a new standard for responsible technology in research and beyond.

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