InMobi

Deep Learning Intern

InternshipIn OfficeBengaluru, Karnataka, India3 months3 openingsImmediate / Rolling

About this internship

InMobi has an exciting opening for a Deep Learning Intern in Bengaluru, ideal for freshers and final-year students eager to learn by doing. Over the internship you will focus on training and optimising deep neural networks, collaborate with cross-functional teams, and develop the exact skills that…

Skills you'll use

PythonDeep LearningPyTorchTensorFlowNeural NetworksCNNsRNNs / TransformersGPU ComputingNumPyModel OptimizationResearchMathematics

What you'll do

Design and train CNN, RNN and Transformer architectures
Optimise models for GPU training speed and inference latency
Run ablation studies and hyper-parameter searches
Reproduce results from state-of-the-art research papers
Document architectures, experiments and learnings
Document work clearly and act on feedback

Who can apply

Pursuing or recently completed a degree in CS/IT/Statistics/Maths/Data Science or related
Foundational knowledge of Python, Deep Learning, PyTorch, TensorFlow
Strong analytical thinking, communication and a proactive attitude
Ability to work in a team and meet deadlines
Based in or open to working from Bengaluru

Perks & benefits

Internship CertificateLetter of RecommendationMentorshipReal-World Data Project ExperiencePre-Placement Offer (PPO) OpportunityFlexible HoursPaid Stipend

Interview & selection process

4 rounds — typical selection flow for this role:

1The selection process for the Deep Learning Intern at InMobi is structured, merit-based and typically involves 4 evaluation rounds followed by an HR discussion (about 5 stages in total): Round 1: Online Application & Resume Screening — apply through the verified link on this page; profiles are shortlisted on fundamentals and fit Round 2: Online Assessment / Aptitude — a test covering statistics, SQL, Python and basic deep learning concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Deep Learning, PyTorch and problem-solving Round 4: Technical Interview 2 / Case Study — a hands-on data/ML case or take-home task discussion with the team Round 5: HR Discussion — role expectations, stipend, start date and offer The process is designed to assess your fundamentals, problem-solving ability and communication rather than rote knowledge. There are no charges at any stage. Shortlisted candidates are contacted through the official careers channel after they apply via the link on this page.

About InMobi

About InMobi another. /em /p p em Culture is at the core of that ethos. It has been co-created by the people who built this company and by those continuing to shape it every day. It lives in how we work, how decisions are made, how teams show up for one another, and how seriously we take the…

Visit InMobi’s official website ↗

Apply Now Find internships at InMobi

Searching for “InMobi internships” or “internship at InMobi”? You’re in the right place.