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Machine Learning Engineer

Summary

VinBrain is a company funded by Vingroup, the largest conglomerate in Vietnam by market capitalization. Our mission is to perform cutting-edge research and development of AI, Machine Learning, and Deep Learning technologies and products that will lead to improve healthcare system and quality of life. At VinBrain, we believe the greatest promise of Big Data lies in healthcare. We believe that by solving unique and challenging problems at the intersection of (medical) Big Data, AI, IoT, and IoP (Internet of People), we can improve the outcomes for patients around the globe. We have assembled seasoned researchers, engineers, and entrepreneurs from world-class companies such as Microsoft, Amazon, Adobe and Google to build the platform and services to achieve this. If you are motivated to be part of something special and to be a catalyst for improving lives and healthier communities, we want to talk to you.

Who we are looking for: experienced frontend, backend and ML engineers who will play a central role in building out both the large-scale intelligent products that runs in the cloud to improve patients and doctor experiences. As a member of our dynamic, agile team, you will have influence on defining product features, design and implement products features and drive operational excellence, and spearhead the engineering best practices that enable a high-quality product.

Responsibilities:

  • Designing and developing machine learning and deep learning systems
  • Running machine learning tests and experiments
  • Perform AI model optimization & model compression
  • Perform statistical analysis and fine-tuning using test results
  • Write reusable code and libraries for future use
  • Analyze and enhance application for maximum speed and scalability
  • Collaborate with team members and stakeholders
  • Bridge the gap between software engineers and applied scientists
  • Familiar and growing your own expertise in machine learning
  • Collaborate effectively with product managers and applied scientists to build successful products
  • Build software framework that optimize and reuse in development life cycle 
  • Practice disciplined software engineering (e.g. automated testing, code reviews)

Qualifications:

  • Bachelor's Degree in computer science or related field, or equivalent practical experience
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and C++
  • Possess strong skills in object-oriented software design and programming
  • Experience working with systems dealing with large scale data storage, processing (real-time and batch), and analytics
  • Experience in a DevOps environment to deploy your own code is a plus
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills

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