As we continue to build...
We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
About the role
We are seeking a Machine Learning Engineer Intern to contribute to the development of computer vision algorithms focused on item authentication and fingerprinting. In this role, you will support the research, development, and deployment of algorithms and models aimed at accurately determining the authenticity of items through the analysis of their unique visual characteristics and assigning unique digital identities based on image data.
You will also assist in refining the image capture experience on edge devices and contribute to ensuring model interpretability.
Reports to: ML Lead
Location: Remote or Hybrid in Bangalore, India
Duration: 6 months internship with an opportunity for PPO
What You'll Do:
- Algorithm Research & Support: Assist in researching, designing, and training computer vision models for authentication, fingerprinting, image capture, and other customer-centric computer vision applications.
- Code Quality & Testing: Write clean, modular, and well-tested code. Develop unit and integration tests to maintain high standards of code quality and reliability. Participate in code reviews, contributing to pull requests and collaborating with team members.
- Model Deployment Support: Provide support in building and maintaining APIs to efficiently deploy models in production.
- Continuous Learning: Stay current with advancements in Computer Vision and Machine Learning.
- Collaboration: Work with internal teams to understand needs and gather feedback on algorithm performance.
- Documentation: Contribute to clear and concise documentation of algorithms and models.
- Currently pursuing a Bachelor's or Master's degree in Electronics, Physics, Computer Science, or a related field.
- Foundational understanding of Computer Vision algorithm development.
- Familiarity with Python.
- Basic understanding of PyTorch and OpenCV.
- Strong foundational skills in probability & statistics, calculus, geometry, optimization, and linear algebra.
- Ability to rapidly acquire new skills and technologies.
- Strong problem-solving skills and attention to detail.
- Willingness to contribute to code reviews and collaborate with peers.
What we offer
- Market-competitive compensation structure
- Opportunities to gain hands-on experience in cutting-edge computer vision solutions.
- A collaborative, mission-driven work culture with direct product impact.
- Mentorship from experienced Machine Learning Engineers.
- Opportunities to learn about deploying models on edge devices.
We have had an incredible run so far and laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day.
If you are a passionate and eager individual looking to kickstart your career in Computer Vision and Machine Learning, we'd love to connect!
Entrupy embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone.
Top Skills
What We Do
Entrupy is the only company using artificial intelligence to instantly authenticate luxury handbags and accessories. Our mission is to become the Verisign of physical goods to attack the $1.7 trillion sales of counterfeit goods globally. Entrupy’s authentication service uses patented computer vision algorithms and microscopy to bring trust to transactions of high-value physical goods. Currently in use by hundreds of secondary resellers and marketplaces worldwide, Entrupy provides the only independent, scalable technology capable of objectively authenticating luxury products.
