ML Intern
Posted 435 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 5 hours ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 435d ago
The date the source published, not the day we noticed it (2025-07-23). Last seen at its source 5h ago.
We have tracked this listing since 19 Sep 2026 (12 days). The employer's own board has carried it every time we have read it, most recently 5 hours ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
India
The description agrees: it names India.
What the ad says
…Location: Remote or Hybrid in Bangalore, India…
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 12d ago · last seen 5h ago
The listing
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.
Who you are:
- 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.