Machine Learning Engineer / Researcher Intern (Recommendation System & Search)
Description For Machine Learning Engineer / Researcher Intern (Recommendation System & Search)
NetVirta is a fast-growing, venture-backed startup in the fashion fit technology space, addressing the problem of finding well-fitting clothing and footwear online. Founded by MIT graduates and located in Boston and Singapore, NetVirta is the world's leading fit technology provider for medical, retail, and sports equipment brands. They use precision 3D body scanning to help customers order the right size.
The Machine Learning Engineer / Researcher Intern will be part of developing and deploying advanced machine learning models for recommendation systems and search engines in the fashion industry. Responsibilities include:
- Assisting in developing scalable recommendation and search engines for fashion content
- Collaborating with senior engineers on machine learning models
- Evaluating and testing recommendation models
- Contributing to data collection, preprocessing, and analysis
- Building quick prototypes to test new ideas and algorithms
- Working in a fast-paced, collaborative environment
Required Skills & Experience:
- Pursuing a Bachelor's, Master's, or PhD in Machine Learning, Computer Science, or related field
- Experience with Python and machine learning frameworks (e.g., TensorFlow, PyTorch)
- Ability to commit to at least 12 weeks of internship
NetVirta offers career development opportunities, a learning-focused culture, attractive compensation and benefits, and a positive work environment. Join the NetVirta family to work with cutting-edge technologies shaping the future of shopping!
Responsibilities For Machine Learning Engineer / Researcher Intern (Recommendation System & Search)
- Assist in the development of scalable recommendation and search engines for fashion content
- Collaborate with senior engineers to design, implement, and optimize machine learning models
- Participate in the evaluation and testing of recommendation models
- Contribute to data collection, preprocessing, and analysis
- Work closely with the team to build quick prototypes
- Work in a fast-paced, collaborative environment
Requirements For Machine Learning Engineer / Researcher Intern (Recommendation System & Search)
- Pursuing a 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)
- Able to commit to at least 12 weeks of internship
Benefits For Machine Learning Engineer / Researcher Intern (Recommendation System & Search)
- Career development opportunities
- Learning-focused culture
- Attractive compensation and benefits
- Engagement and welfare activities
- Positive work environment
