The Research Intern will work on improving 3D reconstruction software, handle computer vision tasks, and support team research through journal summaries and algorithm implementations.
NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.
Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.
We are proud to be certified as Great Place to Work® in Singapore.
What can you expect?
We are now looking for Researcher Interns to join us! You will have opportunities to learn our 3D reconstruction software algorithm, learn and apply cutting-edge computer vision technologies and get exposed to the workflow of software pipeline in the real industry.
Minimum commitment of internship: 3 months
Responsibilities
- Understand the software pipeline and make modification to improve the performance
- Handle Computer Vision and/or Deep Learning tasks to improve our current products
- Read research journals and summarize. Ability to implement algorithm in research paper will be a plus
- Support other team members to facilitate the research progress
Required Skills & Experience
- Masters or Bachelors in Computer Science or related fields
- Knowledge / experiences in LLM will be a plus.
What else is awaiting you?
- Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
- Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
- Work alongside with friendly colleagues in a positive environment.
Join the NetVirta family to work in a nurturing, collaborative environment! Not only will you be exposed to cutting edge technologies that will shape the future of shopping, you’ll contribute to them too!
Note: Due to a high volume of applications, only shortlisted candidates will be notified. We appreciate your interest and please do not stop trying if you don’t hear back from us!!
Top Skills
3D Reconstruction Software
Computer Vision
Deep Learning
Llm
NetVirta, Inc. Singapore Office
Similar Jobs
Financial Services
Interns will develop predictive models, design algorithms for trading, and work with big data under mentorship, enhancing skills in quant research and programming.
Top Skills:
C++Machine LearningPythonR
Information Technology • Software • Financial Services • Big Data Analytics
As a Quantitative Researcher intern, you will develop trading models, conduct statistical analysis, and translate algorithms into code, focusing on data-driven research.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services
The Quantitative Researcher Intern will develop and test automated quantitative trading strategies, conduct research, and analyze data using statistical techniques. Responsibilities include back-testing trading models and translating algorithms into code.
Top Skills:
C++PythonR
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.