Coralai

Coralai

ML Engineer - New York

New York City

Sponsorship not specifiedDetected 93 days ago
PythonAlgorithmsAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningDeep LearningTensorFlowPyTorchNLPRoboticsResearchCommunicationProblem Solving

About the role

  • 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.

Responsibilities

  • Research and implement algorithms for extracting structured information from unstructured documents and audio
  • Optimize and fine-tune models for real-world performance and reliability
  • Analyze model outputs, perform error analysis, and iterate quickly based on results and feedback
  • Proven experience in developing and deploying ML solutions for OCR, NLP, document processing, and/or speech/voice technologies
  • Ability to analyze large datasets, develop metrics, and troubleshoot complex ML pipelines

Requirements

  • Proficiency with Python and ML frameworks like TensorFlow or PyTorch
  • Experience with cloud platforms (AWS, GCP, or Azure) and scalable model deployment (Docker, Kubernetes)

Skills

  • Work alongside product, data, and engineering teams to integrate ML solutions into production workflows
  • Document methodologies, experiments, and best practices

Compensation

  • Competitive salary and comprehensive benefits

Benefits

  • The opportunity to work on mission-critical problems that impact millions
  • Competitive salary and comprehensive benefits
  • Apply today and help us reimagine healthcare with AI at Coral AI!
  • Design, build, and deploy scalable machine learning models for OCR, document understanding, and voice processing
  • 2-5 years of experience in machine learning engineering or research
  • Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.)

This listing is sourced directly from Coralai's careers page and normalized into a canonical job model.