SDE II - Gen AI

<div class="content-intro"><p><strong>Glance</strong></p> <p>Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms.

To learn more, visit glance.com.</p> <p><strong>InMobi&nbsp;</strong></p> <p>InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte.

Ltd.</p> <p><strong>InMobi Advertising</strong></p> <p>InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte.

Ltd. To learn more, visit advertising.inmobi.com.</p></div><p>&nbsp;</p> <p>We’re looking for an engineer who can work across <strong>Generative AI, model fine-tuning, optimization, and on-device deployment</strong> for iOS and Android.</p> <p>This role is ideal for someone who enjoys taking models beyond experimentation and making them actually work on consumer devices under real constraints such as <strong>latency, memory, battery, thermal limits, and model size</strong>.</p> <p><strong>What you’ll work on</strong></p> <ul> <li>Image Generation, VTON, identity-preserving and reference-based generation</li> <li>LoRA training, fine-tuning, personalization, and adapter-based techniques</li> <li>PyTorch-based training and experimentation</li> <li>Diffusion / Transformer-based image generation architectures</li> <li>Dataset preparation, training pipelines, and evaluation</li> <li>Model conversion and deployment using <strong>ONNX / ONNX Runtime</strong></li> <li>Inference optimization using <strong>TensorRT</strong></li> <li>Quantization using FP16 / INT8 / INT4 and other optimization techniques</li> <li>On-device inference on <strong>iOS using Core ML</strong> and <strong>Android using TFLite/LiteRT, ONNX Runtime, or similar runtimes</strong></li> <li>Performance profiling and debugging across CPU, GPU, NPU / ANE</li> <li>Reducing inference latency, peak memory usage, and model footprint</li> <li>Building production-ready model pipelines from training to device deployment</li> </ul> <p><strong>What we’re looking for</strong></p> <ul> <li>2-5 Years of Experience</li> <li>Strong experience with&nbsp;<strong>Python, PyTorch, and deep learning</strong></li> <li>Hands-on experience with <strong>Computer Vision / Generative AI</strong></li> <li>Experience training or fine-tuning image-generation models</li> <li>Good understanding of <strong>LoRA, model optimization, and quantization</strong></li> <li>Strong knowledge of inference runtimes such as <strong>ONNX, TensorRT, Core ML, TFLite/LiteRT, or ONNX Runtime</strong></li> <li>Strong debugging, profiling, and software engineering fundamentals</li> </ul> <p><strong>Good to have</strong></p> <ul> <li>Experience with FLUX, Stable Diffusion, SDXL, ControlNet, IP-Adapter, VAE, CLIP, or similar architectures</li> <li>CUDA / GPU optimization</li> <li>Metal / Apple Neural Engine</li> <li>Android NNAPI / GPU delegates</li> <li>C++ / Swift / Kotlin</li> <li>Distributed or multi-GPU training</li> <li>Model compression, pruning, and knowledge distillation</li> </ul> <p>We’re especially interested in engineers who can think end-to-end:</p> <p><strong>Data → Training → Fine-tuning → Evaluation → Quantization → Model Conversion → Runtime Optimization → On-Device Deployment → Production Monitoring</strong></p> <p>If you enjoy solving problems like <strong>“How do we make a large generative model run fast, efficiently, and reliably on a phone?”</strong>, this role should be exciting.</p> <p>&nbsp;</p><div class="content-conclusion"><p><span class="ui-provider ee bcu auz bcv bcw bcx bcy bcz bda bdb bdc bdd bde bdf bdg bdh bdi bdj bdk bdl bdm bdn bdo bdp bdq bdr bds bdt bdu bdv bdw bdx bdy bdz bea">"<em>Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed.

By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email."</em></span></p></div>