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Reducto is an AI-driven API that specializes in converting unstructured documents into structured data. They are seeking a Machine Learning Engineer to help train and deploy models critical to their core product, focusing on improving the accuracy of data interpretation from various document formats.
Responsibilities:
• Training and deploying new state of the art models for parsing and interpreting unstructured data
• Experimenting with novel techniques to improve LLM accuracy
• Build data pipelines, evaluate model performance, and integrate models into the product
• Working directly with the founders and customers to shape the product direction and engineering strategy
Qualifications:
• You have 2 to 5 years of experience with training, fine tuning, and evaluating ML models used in production systems
• You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs
• Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset
• A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.
• Have prior experience founding a company or building products at early stages
• Are ambitious and driven, and care a lot about doing great work with great people
• Keep up with the latest developments in ML/AI
Company:
Reducto is an AI-driven API that specializes in converting unstructured documents like PDFs and images into structured data.
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