TransmuteX Internship Programme
TransmuteX internship programme is designed for all those brilliant minds who are self-motivated and enthusiastic about making a difference in the field of AI through their hard work and dedication. We believe every student, irrespective of their academic stream of study and prior experience, has the potential to contribute to the field of deep learning. Thus, this internship programme is unique in the sense that it will not focus on your resume, rather completely on how you perform in Phase I of the programme, as outlined below.
How does it work?
To get started, you would need to choose one of our outlined problem statements, and build the first preliminary solution on your own. We evaluate your solution, and if it passes our checks, you will be a TransmuteX intern for a duration of 3 months (including the time that you already spent building the preliminary solution). We will provide a stipend and mentorship and you will be integrating the solution into TrAILMET. Once done, your solution will be a part of the next release of our software, and this is where the internship gets concluded. Based on the performance, there will be chances for longer term projects.
Steps:
TransmuteX internship programme comprises of two phases: Phase I and Phase II. Details of the two phases follow below.
Phase I: To participate in this phase, each student needs to choose one problem statement to work on. Students can choose to work on their own pace to implement a solution to the posed problem.
There is no teamwork here and each student needs to work on a problem statement on their own.
The solution needs to be implemented using the code structure provided in our open-source TrAILMET toolkit. Note that you do not need to made your code fully modular at this point, however, you have a experimental notebook similar to those provided in experiments to demonstrate the working of your code. This notebook should interact with your backend code in a similar fashion as the rest of the toolkit.
Once you are ready with the solution, send the working notebook and the code to deepak.gupta@iitism.ac.in.
We will review your code and invite you for a 1-hour session to walk us through it. We will also ask ML-oriented questions around the method implemented in your code. Based on successful evaluation, you will enter Phase II. This is where you are considered a part of the TransmuteX Internship programme.
Phase II: As part of this phase, you will be working as part of the Transmute AI team and will be provided mentorship by one of our experienced members. If you reach this point, we will already count the completion of 1-month of the internship. During this phase, you will be required to integrate your solution as part of the TrAILMET toolkit. You will need to adhere to the guidelines set out by the mentors. Further, you will be contributing to developing unit tests as well as documentation related to the method. Once integrated, you will be running numerical experiments associated with your method to include it in our benchmarking suite. On completion of the tasks, you will be provided the full stipend of the internship as well as a certificate acknowledging successful completion of the project. The whole duration of the internship cannot be more than 3 months (including 1 month of Phase I).
Eligibility criteria
Any student enrolled in a UG/PG course in India and interested to work on deep learning related topics.
All interns who qualify for Phase II need to ensure that they do not pursue any additional internship/project opportunities in parallel to this internship.
If we find any violation of (2), we retain the right to cancel the internship with no prior notice.Â
FAQs
I am not a student. Am I still eligible?
No, you are not eligible in such cases. Once you join as a TransmuteX intern, we expect you to be available full-time. For cases where you are partly busy with ongoing academics, we will deal with on a case-by-case basis.
Is this a paid internship programme?
Yes, this is a paid internship programme. However, the entire stipend will be paid at the end based on the successful completion of the internship.
Do I need to be enrolled in CS or a similar stream?
No, this internship programme does not look at your stream of enrollment. Rather, we evaluate each student based on performance during Phase I of the programme, as outlined above.
Contact us
If you have any queries, please reach out to us at deepak.gupta@iitism.ac.in. Note that we will be responding to only selective queries related to the programme.
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