Autonomize AI is seeking a highly motivated machine learning Engineer focused on Computer Vision to join our core engineering team. You will play a pivotal role in shaping the future of data-driven decision making in healthcare, by building machine learning based state-of-the-art solutions for document understanding.. Autonomize is pioneering the use of AI to turn unstructured, dark data into actionable insights for healthcare knowledge workers. We strive to simplify the journey from raw data to valuable insights by leveraging the power of machine learning and computer vision. Our team comprises serial entrepreneurs, data scientists, and engineers who are disrupting the healthcare industry by bridging the gap between data and decision-making. This role provides a unique opportunity to work with a global, remote team of experts who are committed to human-machine collaboration, industry disruption, and most importantly, scaling AI. About the Role As a machine learning engineer, you will be at the forefront of designing, fine tuning and developing solutions for document understanding leveraging techniques including but not limited to, OCR, vision-to-text multimodal models, and LLMs etc Your contributions will directly impact the decision-making process in healthcare. Common problems you need to solve include how to parse the key information from scanned documents for downstream applications, how to fix/improve scanned document quality/resolution, and how to build next generation multimodal models to improve document understanding performances. Here is what were looking for in our teammate: Kick-ass technical competencies Hands-on coding: Strong Python / shell skills Expertise in OCR and computer vision based document extraction tasks (3 years specialized experience) Working with OCR libraries like PaddlePaddle OCR, Tesseract, and Adobe PDF Library for at least 2 years. Working with transformer based vision models and multi-modal models like Donut, pix2struct, LayoutLM for at least 1 year. Familiarity with PDF processing tools such as PDFMiner, PyPDF2, and pdfplumber. Proficiency in text extraction and structuring tools like Tabula, Camelot, or Textract Experienced integrating OCR and layout detection into end-to-end document processing pipelines Familiarity with LLMs: Experience in using Language Models for information extraction Experience in using frameworks like TensorFlow and/or PyTorch for model development Experience in integrating computer vision and NLP systems into full-stack applications, preferably using Django or Flask Proven track record in scaling solutions on GPUs (eg, Slurm) is a plus Data Technologies: Experience with Kafka, Spark, and MongoDB is a plus Who you are as a person/leader Owner mentality: You take full ownership of your work. Curious and Experimental: You love solving complex problems and are always up for a challenge. Team Player: You thrive in a collaborative environment and are committed to the team and mission. Excellent Communication: English proficiency is a must. Nice-to-have industry competencies Experience in Healthcare, Pharma, or Life Sciences Familiarity with cloud-based ML platforms like AWS SageMaker, GCP Vertex/AutoML Perks Outsized Bet: Opportunity to start at the ground floor in a young, VC-backed company Learning: Learn from industry experts and founders Startup Perks: Ownership, Autonomy, Mastery Standard Benefits: Insurance, paid vacation, and a focus on physical/mental well-being