Senior ML Engineer
Coral AI
Senior ML Engineer
Coral AI
AI-driven platform automating healthcare administrative tasks
At 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, 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 late 7 figures 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
Role Overview
As 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 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
3–9 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!
Coral AI builds an AI-driven platform that automates administrative tasks for healthcare providers by integrating with existing systems such as EHRs, fax lines, and payer portals without requiring infrastructure changes. Its AI agents read unstructured documents (like handwritten faxes and referral packets), extract relevant data, check insurance eligibility, and draft prior authorizations for human review, while automating workflows such as patient intake, prior authorization, billing, and compliance with high accuracy. The platform targets specialty providers (DME suppliers, infusion centers, radiology practices) and operates on a SaaS model, handling large volumes (over 500,000 patient workflows monthly) and achieving rapid commercial traction. Coral’s goal is to reduce the $450 billion annual healthcare administrative burden by making back-office processes faster, cheaper, and more accurate, with plans to expand into other industries with complex, unstructured workflows.
Explore more opportunities at Coral AI