VinAI Research is looking for talented engineers to build mass-scale backend services, machine learning pipelines and AI systems.

Your role & responsibilities

Wide range of applications: computer vision, natural language processing, speech understanding and recommendation systems.
A successful candidate is expected to have extensive programming experience, a solid understanding of system architecture
Past experience with delivering and optimising such systems is a great advantage.
Design, build and maintain large-scale and highly performant backend systems.
Develop and maintain continuous integration, continuous deployment workflow

Your skills & qualifications

Level Introduction (Senior/ Junior)
- Experience:
  - Junior: 2+ years
  - Senior: 5+ years, have experience with leading a team/product before
- Education:
  - B.Sc (or higher) in computer science or related fields
Technical requirement:
- Familiarity with SQL/NoSQL databases and techniques
- Familiarity with git and related VCS workflow (code review, pull requests, branches)
- Familiarity with agile development frameworks (scrum, Kanban etc)
- Highly proficient at object-oriented programming
- Familiarity with major continuous integration, continuous deployment frameworks is a plus
- Familiarity with cloud computing services (GCP, AWS etc) is a plus
- Proficiency in Python and C++ is a great plus
- Familiarity with deep learning concepts, models and techniques is a great plus
Background Requirement
- Solid Computer Science or Mathematics background
- Ability to work

Compensation is highly competitive and will take into account the applicant’s current experience level
Work on challenging real-world AI/ML problems
Opportunity to continuously grow your knowledge in ML technology
Opportunity to contribute, interact, share and learn from exceptionally talented colleagues
Chance to publish research outputs at top-tier AI venues
Chance to work with experienced AI scientists worldwide
Trained on A.I algorithm development and problem-solving skills to tackle real-world applications
Opportunity to contribute, interact, share and learn from exceptionally talented colleagues