Qualifications
Who You Are:Quality-Driven: You are your own toughest critic, maintaining a high standard for quality and ensuring tasks are completed thoroughly—no shortcuts. You possess the agility to deliver quickly while proactively addressing challenges.Experience: You bring over 2 years of experience in training, fine-tuning, and assessing machine learning models in production environments.Technical Proficiency: You excel in Python or similar programming languages and have a solid understanding of traditional computer vision techniques and Vision Language Models (VLMs).Tool Development: You are adept at creating necessary tools, such as quick Streamlit applications, to test hypotheses or construct datasets.Analytical Mindset: You take a quantitative approach to product development, demonstrating the ability to debug, experiment, and iterate rapidly across the full development lifecycle—from ideation to delivery.
About the job
Join Reducto as a Machine Learning Engineer
At Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision.
Much of the enterprise data—ranging from financial documents to healthcare records—remains trapped in unstructured formats such as PDFs and spreadsheets. Our vision models are designed to interpret these documents in a human-like manner, enabling the development of innovative products, training of machine learning models, and automation of processes on a large scale.
Our rapid growth is a testament to our success, having achieved a staggering 7x year-over-year revenue increase, collaborating with numerous companies from prominent AI teams like Harvey, Vanta, and Scale to major enterprises including FAANG and leading trading firms.
With over $100 million raised from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Machine Learning Engineer to assist in training and deploying models crucial for our core product's success.
About Reducto
Reducto is revolutionizing the way enterprise data is processed, utilizing cutting-edge AI technology to ensure accuracy and scalability. Our team prides itself on innovation, collaboration, and a commitment to excellence, making us a leader in the AI industry.
