ML Engineer

CORAL AI LLC
New York, NY, United States
6 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Python (Programming Language) Machine Learning Tensorflow Pytorch Deep Learning Kubernetes Machine Learning Operations
+1 more
Docker

Job description

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., * 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

Benefits & conditions

  • 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 for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

Videos

See all

Related articles

See all