Works on neural network architectures and training pipelines where classical ML is not enough — vision, sequence, audio or multimodal problems.
An education and IT services centre with a dense private-university catchment and strong candidate retention.
Also posted as: Neural Networks Intern · Deep Learning Engineer Intern · DL Research Intern
GPU access is the real constraint on this internship, not talent — if you cannot provide compute, the intern will spend the term on toy datasets. Confirm your budget before posting, and say so in the JD; candidates rate this higher than stipend.
In Dehradun specifically, budget ₹15,000–₹41,500 per month for a deep learning intern — well below metro rates for comparable candidates, which makes this an efficient market if the work can be done here or remotely.
Written for Dehradun, with the stipend band, responsibilities, skills and eligibility already filled in. Replace the bracketed fields, and it is ready for your careers page, your ATS or a free posting here.
One thing worth keeping: the stipend line. Listings that state a number consistently receive more qualified applications than listings that say “as per industry standards”, because strong candidates filter out anything they would have to negotiate blind.
Post it free on MyInternships.inJob Title: Deep Learning Intern Location: Dehradun (on-site / hybrid — state which applies) Duration: 4–6 months Stipend: ₹15,000–₹41,500 per month Openings: [number] About the role Works on neural network architectures and training pipelines where classical ML is not enough — vision, sequence, audio or multimodal problems. What you will do • Implement and train neural architectures for the team’s specific problem • Build data loaders, augmentation pipelines and reproducible training scripts • Run and log hyperparameter sweeps with proper experiment tracking • Diagnose training pathologies — overfitting, vanishing gradients, bad initialisation • Optimise inference through quantisation, pruning or distillation where cost matters • Reproduce a relevant paper and report honestly on whether it transfers to your data What we are looking for • Python • PyTorch or TensorFlow • Linear algebra & calculus • Neural network fundamentals • Experiment tracking • Git Bonus points for • CUDA / GPU profiling • Mixed-precision training • Distributed training • Paper reproduction experience Tools and technologies PyTorch · Weights & Biases · CUDA · Hugging Face · Python · Docker Who can apply • B.Tech / B.E. (CSE, IT, ECE) • M.Tech • M.Sc (CS, Maths, Physics) • Integrated dual degree • Students and recent graduates available in Dehradun for 4–6 months What you will walk away with A trained model that beats the pretrained baseline on the company’s data, with reproducible training code and a documented sweep. How to apply [Add your application link, or post this role free on MyInternships.in and receive applications directly.]
What a good term produces
A trained model that beats the pretrained baseline on the company’s data, with reproducible training code and a documented sweep.
Non-negotiable
Worth a higher stipend
Name your actual stack in the listing. Candidates match on tools before they read anything else, and a specific stack draws applicants whose project work already lines up.
These are written so an HR generalist can ask them without domain expertise. You do not need to evaluate the technical answer — listen for whether the candidate reasons from something they actually did, or from something they read.
Your training loss drops but validation loss climbs. Walk me through your next four steps.
When would you fine-tune a pretrained model instead of training from scratch?
Which paper have you actually reimplemented, and what did not reproduce?
Monthly bands for deep learning intern roles, adjusted from the India-wide range of ₹20,000–₹55,000 per month. The spread reflects employer competition for the same candidates, not candidate quality — which is exactly why hiring outside the metros or remotely is worth considering for this role.
| City | Monthly stipend band | Role page |
|---|---|---|
| Bengaluru | ₹26,000–₹71,500 | Deep Learning Interns in Bengaluru |
| Mumbai | ₹25,000–₹69,000 | Deep Learning Interns in Mumbai |
| Gurgaon | ₹24,500–₹67,000 | Deep Learning Interns in Gurgaon |
| Hyderabad | ₹24,000–₹66,000 | Deep Learning Interns in Hyderabad |
| Delhi | ₹24,000–₹66,000 | Deep Learning Interns in Delhi |
| Pune | ₹23,000–₹63,000 | Deep Learning Interns in Pune |
| Navi Mumbai | ₹22,000–₹60,500 | Deep Learning Interns in Navi Mumbai |
| Chennai | ₹22,000–₹60,500 | Deep Learning Interns in Chennai |
| Secunderabad | ₹22,000–₹60,500 | Deep Learning Interns in Secunderabad |
| Noida | ₹22,000–₹60,500 | Deep Learning Interns in Noida |
| Thane | ₹21,000–₹58,000 | Deep Learning Interns in Thane |
| Pimpri-Chinchwad | ₹20,000–₹55,000 | Deep Learning Interns in Pimpri-Chinchwad |
Bands are indicative monthly stipends for internships, not full-time salaries. Adjust for duration, in-office versus remote, and whether the role carries a pre-placement offer.
Candidates routinely apply across a region rather than a single city — especially for remote and hybrid roles. These nearby markets share Dehradun's talent pool.
₹15,000–₹41,500 per month is the working band for Dehradun. That is derived from the India-wide range of ₹20,000–₹55,000 per month adjusted for Dehradun's talent market. Pay below the band and you will still receive applications — just not from the candidates who have other options. Healthy candidate supply, but the strongest applicants are gone within two weeks of posting.
Six specific responsibilities, the non-negotiable skills, the tools and stack you actually use, eligible degrees, the duration, and the stipend. The stipend matters most: listings that state a number receive substantially more qualified applications than listings that say "as per industry standards". The template on this page has all of it filled in — edit the bracketed fields and post it.
4–6 months. Shorter than that and the intern spends the whole term ramping up; a trained model that beats the pretrained baseline on the company’s data, with reproducible training code and a documented sweep. is what a full term should produce.
B.Tech / B.E. (CSE, IT, ECE); M.Tech; M.Sc (CS, Maths, Physics); Integrated dual degree. Filtering harder than this — on college tier or CGPA — removes more good candidates than weak ones in this role. Screen on the work sample instead.
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