---
title: 'ML Engineer - New York at Coral AI'
canonical: 'https://feeny.ai/job/ml-engineer-new-york-coral-ai-new-york-eht0bh0a97hq'
type: 'job'
last_seen: '2026-10-19'
---

# ML Engineer - New York at Coral AI 

- **Company:** Coral AI 
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-20
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/coralai/68662a9f-8c80-430d-92d6-bfd679e6ebb3

## Job description

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 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 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!

## About Coral AI 

## Company Overview
- **One-liner**: Coral AI automates healthcare’s administrative workflows — patient intake, prior authorization, billing, and compliance — so providers can focus on patient care.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: New York, United States
- **Founded**: 2024
- **Founders**: Ajay Shrihari and Aniket Mohanty

## Core Business
- **Primary industry**: Healthcare IT / Healthcare Automation
- **Target customers**: Healthcare providers – infusion centers, DME (Durable Medical Equipment) providers, specialty pharmacies, radiology practices, and other clinic operations.
- **Mission or purpose**: To eliminate the administrative burden in healthcare so that patients get care faster and providers can focus on clinical judgment.

## Products & Services
- **Coral Platform**: An AI-driven automation platform that handles document extraction, eligibility & benefits verification, clinical qualification, missing-info follow-ups, prior authorization drafting, and EHR sync. It ingests faxes, emails, and CSV files into a unified inbox and routes work through custom workflows. (SaaS)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: Total Funding – $2M seed round (led by Lightspeed Venture Partners, 2025)
- **Notable Investors/Partners**: Lightspeed Venture Partners (lead seed); advisor Ashish Singh (Bain & Company). Early customer: DASCO Home Medical Equipment.
- **Growth Signals**: Processes “hundreds of thousands of patient workflows monthly”; 18 employees as of mid-2025 with +18.2% monthly headcount growth; expanded into infusion centers, DME, specialty pharmacies, and radiology since launch.

## Competitive Advantages
- **Healthcare-specific AI models**: Trained on real clinic documents (handwriting, flipped insurance cards, blurry text) rather than synthetic data – achieving accuracy in the high 90s.
- **Integrate, don’t rebuild**: Works with existing EHRs, e-fax, and physician portals so providers get value on day one.
- **Humans-in-the-loop**: Technology augments clinical staff, not replaces them – safety-critical design for a zero-failure environment.
- **Security & compliance**: SOC, AICPA, ISO 27001 certified; AES-256 encryption at rest, TLS 1.2+ in transit; MFA, role-based permissions, audit logs.

## Strategic Focus
- **Current priorities**: Deepen automation across more service lines (radiology, infusion, pharmacy), scale operations while maintaining 99%+ accuracy, and build the foundation for applying the same AI to other high-stakes industries (insurance, banking, government).

## Why Work Here
- **Culture**: “Embeds, learns, ships” – team spends time on the ground with clinic staff before writing code. Emphasis on accuracy over speed, and building for messy reality.
- **Remote/Hybrid/Office**: Headquarters in New York, with presence in India. Likely hybrid given both locations. Not explicitly stated.
- **Notable perks**: Working on a problem that directly reduces patient waiting times; small team (18 people) means high ownership and impact; founders with strong technical backgrounds (robotics/AI, medical imaging).

## Sources
1. [trycoral.ai](https://www.trycoral.ai/)
2. [trycoral.ai/about-us](https://www.trycoral.ai/about-us)
3. [linkedin.com/company/trycoral](https://www.linkedin.com/company/trycoral)
4. [lsip.com/company/coral-ai](https://lsip.com/company/coral-ai/)
5. [forbes.com](https://www.forbes.com/sites/charliefink/2025/10/20/coral-ai-and-healthcares-450-billion-paperwork-problem/)

## Other roles at Coral AI 

- [Business Development Representative](https://feeny.ai/job/business-development-representative-coral-ai-new-york-6md9wcjy3t94) — New York, NY
- [Account Executive](https://feeny.ai/job/account-executive-coral-ai-new-york-dt0smgh45537) — New York, NY
- [Finance Lead](https://feeny.ai/job/finance-lead-coral-ai-remote-x3x3eshdfjk3)
- [Senior Product Designer](https://feeny.ai/job/senior-product-designer-coral-ai-remote-32eda3yvqmv0)
- [Senior ML Engineer](https://feeny.ai/job/senior-ml-engineer-coral-ai-remote-cc4mvd6s2xtg)
- [Senior Engineer - Forward Deployed](https://feeny.ai/job/senior-engineer-forward-deployed-coral-ai-new-york-2smgcsydgg4q) — New York, NY
- [Backend Engineer - Platform](https://feeny.ai/job/backend-engineer-platform-coral-ai-remote-exw4v44wy2ax)