SDE II - Gen AI

Glance

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.

InMobi

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.

InMobi Advertising

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.

We’re looking for an engineer who can work across Generative AI, model fine-tuning, optimization, and on-device deployment for iOS and Android.

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 latency, memory, battery, thermal limits, and model size.

What you’ll work on

Image Generation, VTON, identity-preserving and reference-based generation

LoRA training, fine-tuning, personalization, and adapter-based techniques

PyTorch-based training and experimentation

Diffusion / Transformer-based image generation architectures

Dataset preparation, training pipelines, and evaluation

Model conversion and deployment using ONNX / ONNX Runtime

Inference optimization using TensorRT

Quantization using FP16 / INT8 / INT4 and other optimization techniques

On-device inference on iOS using Core ML and Android using TFLite/LiteRT, ONNX Runtime, or similar runtimes

Performance profiling and debugging across CPU, GPU, NPU / ANE

Reducing inference latency, peak memory usage, and model footprint

Building production-ready model pipelines from training to device deployment

What we’re looking for

2-5 Years of Experience

Strong experience with Python, PyTorch, and deep learning

Hands-on experience with Computer Vision / Generative AI

Experience training or fine-tuning image-generation models

Good understanding of LoRA, model optimization, and quantization

Strong knowledge of inference runtimes such as ONNX, TensorRT, Core ML, TFLite/LiteRT, or ONNX Runtime

Strong debugging, profiling, and software engineering fundamentals

Good to have

Experience with FLUX, Stable Diffusion, SDXL, ControlNet, IP-Adapter, VAE, CLIP, or similar architectures

CUDA / GPU optimization

Metal / Apple Neural Engine

Android NNAPI / GPU delegates

C++ / Swift / Kotlin

Distributed or multi-GPU training

Model compression, pruning, and knowledge distillation

We’re especially interested in engineers who can think end-to-end

Data → Training → Fine-tuning → Evaluation → Quantization → Model Conversion → Runtime Optimization → On-Device Deployment → Production Monitoring

If you enjoy solving problems like “How do we make a large generative model run fast, efficiently, and reliably on a phone?”, this role should be exciting.

"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."