Research Engineer I: Multimodal Vision & Document AI

CodeRound; Hinoba-an; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

CodeRound is seeking a Research Engineer-I to develop AI solutions for automated document understanding, supporting research to production deployment. You will work on computer vision, image processing, and multimodal models, collaborating with engineers and product teams.

You will write clean Python code using PyTorch, TensorFlow, or HuggingFace, and contribute to research, prototyping, and scalable production workflows in a fast-paced environment.

Qualifications

• Experience in computer vision, deep learning, NLP and multimodal models.
• Proficiency with Python and ML frameworks (PyTorch, TensorFlow).
• Experience deploying ML models to production and collaborating with software teams.

Responsibilities

• Contribute to R&D in CV, image processing and DL.
• Build and optimize models for extracting insights from blueprints, PDFs and SVGs.
• Develop multi-modal models integrating vision with NLP/LLMs.

Skills

Computer Vision

Deep Learning

NLP

Multimodal Models

Python

Research

Agile

Tools

PyTorch

TensorFlow

OpenCV

HuggingFace

Docker

Kubernetes

AWS

GCP

Azure

Git

JIRA

Job description

CodeRound is seeking a Research Engineer-I to develop AI solutions for automated document understanding, supporting research to production deployment. You will work on computer vision, image processing, and multimodal models, collaborating with engineers and product teams.

You will write clean Python code using PyTorch, TensorFlow, or HuggingFace, and contribute to research, prototyping, and scalable production workflows in a fast-paced environment.