Machine Learning Engineer / Researcher (Recommendation System & Search)

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 seeking a Machine Learning Engineer / Researcher who will lead the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including:
• Content-based recommendation
• Leveraging implicit user interaction signals
• Large language (vision) models

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• 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 await you.
• Work alongside 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!