CynLr

Edge ML & Model Optimisation Intern

InternshipWork from HomeBengaluru, Karnataka3 months27K/mo12 openingsImmediate / Rolling

About this internship

Start your career in model compression and edge deployment with CynLr as an Edge ML & Model Optimisation Intern in Bengaluru. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As an Edge ML & Model Optimisation…

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Skills you'll use

Model QuantisationModel PruningTensorFlow Lite / ONNXPythonC/C++ BasicsEmbedded DeploymentLatency ProfilingKnowledge DistillationBenchmarkingHardware Constraints

What you'll do

Work on making a model small and fast enough to run where there is no GPU alongside the core team
Apply Model Quantisation, Model Pruning, TensorFlow Lite / ONNX, Python to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (CSE/ECE/EEE), M.Tech, MCA or M.Sc (Computer Science / Electronics)
Graduating batch 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Model Quantisation, Model Pruning, TensorFlow Lite / ONNX (or a genuine willingness to learn them)
Exposure to Python, C/C++ Basics, Embedded Deployment is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Bengaluru, Karnataka or willing to work from there for the internship period

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects
3HR discussion — stipend, start date, expectations and offer

About CynLr

CynLr operates in the visual robotics research sector and has an active presence in Bengaluru. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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