Senior ML Engineer at Coral AI | Torre

Senior ML Engineer

You'll engineer advanced AI solutions to accelerate life-saving healthcare and reduce patient wait times.
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Full-time

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Emma of Torre.ai
29 days ago

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About Coral AIAt Coral AI (trycoral.ai), we’re engineering the intelligent operating system for a more efficient healthcare industry. As recently featured in Forbes, 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, utilizing 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.Role OverviewAs a Senior 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 ResponsibilitiesDesign, build, and deploy scalable machine learning models for OCR, document understanding, and voice processingResearch and implement algorithms for extracting structured information from unstructured documents and audioOptimize and fine-tune models for real-world performance and reliabilityWork alongside product, data, and engineering teams to integrate ML solutions into production workflowsAnalyze model outputs, perform error analysis, and iterate quickly based on results and feedbackDocument methodologies, experiments, and best practicesRequirements3–9 years of experience in machine learning engineering or researchProven experience in developing and deploying ML solutions for OCR, NLP, document processing, and/or speech/voice technologiesProficiency with Python and ML frameworks like TensorFlow or PyTorchStrong 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 pipelinesExcellent problem-solving, communication, and teamwork skillsWillingness to work on-site in Bengaluru or NYCBonus PointsPrior experience in healthcare AI, document AI, or voice-based healthcare applicationsFamiliarity with OCR toolkits (Tesseract, AWS Textract, Google Vision API, etc.)Background in productionizing ML models in high-compliance environmentsWhat We OfferThe opportunity to work on mission-critical problems that impact millionsA collaborative, high-growth environment with an expert teamCompetitive salary and comprehensive benefitsCentrally located modern office in Bengaluru or NYCApply today and help us reimagine healthcare with AI at Coral AI!
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