Coral is a health tech startup that uses AI to automate reviews of medical paperwork.
At Coral AI (trycoral.ai http://trycoral.ai), we’re engineering the intelligent operating system for a more efficient healthcare industry. As recently featured in Forbes https://www.forbes.com/sites/charliefink/2025/10/20/coral-ai-and-healthcares-450-billion-paperwork-problem/, we are tackling a massive administrative bottleneck, a $450 billion crisis that consumes 25% of U.S. healthcare spending and forces patients to wait weeks for life-saving treatment. Our agentic automation platform is uniquely designed for healthcare’s "messy" reality, utilising sophisticated AI to digest handwritten faxes, complex medical records, and blurry scans with an unprecedented 98.7% accuracy. Backed by Lightspeed and founded by a team with deep roots in AI and robotics, we’ve scaled to multi-million dollars in ARR in less than six months by delivering immediate, Day-1 value to medical equipment providers, clinics and specialty pharmacies. By slashing patient wait times from five days to under three hours, we’re doing more than just automating paperwork; we’re returning time to clinicians and ensuring that care is never delayed by a document. If you’re a high-ownership builder who wants to solve mission-critical problems in OCR and NLP while making a tangible impact on human lives, come help us build the infrastructure that lets healthcare scale Job Title: ML Engineer Role Overview As an ML Engineer at Coral AI, you will play a critical role in developing and deploying advanced machine learning solutions focused on OCR (Optical Character Recognition), document processing, and voice technologies. You’ll collaborate closely with cross-functional teams to architect, train, and optimize state-of-the-art models that power automation and intelligence across our platform. Key Responsibilities - Design, build, and deploy scalable machine learning models for OCR, document understanding, and voice processing - Research and implement algorithms for extracting structured information from unstructured documents and audio - Optimize and fine-tune models for real-world performance and reliability - Work alongside product, data, and engineering teams to integrate ML solutions into production workflows - Analyze model outputs, perform error analysis, and iterate quickly based on results and feedback - Document methodologies, experiments, and best practices Requirements - 2–5 years of experience in machine learning engineering or research - Proven experience in developing and deploying ML solutions for OCR, NLP, document processing, and/or speech/voice technologies - Proficiency with Python and ML frameworks like TensorFlow or PyTorch - Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.) - Experience with cloud platforms (AWS, GCP, or Azure) and scalable model deployment (Docker, Kubernetes) - Ability to analyze large datasets, develop metrics, and troubleshoot complex ML pipelines - Excellent problem-solving, communication, and teamwork skills - Willingness to work on-site in Bengaluru or NYC Bonus Points - Prior experience in healthcare AI, document AI, or voice-based healthcare applications - Familiarity with OCR toolkits (Tesseract, AWS Textract, Google Vision API, etc.) - Background in productionizing ML models in high-compliance environments What We Offer - The opportunity to work on mission-critical problems that impact millions - A collaborative, high-growth environment with an expert team - Competitive salary and comprehensive benefits - Centrally located modern office in Bengaluru or NYC Apply today and help us reimagine healthcare with AI at Coral AI!