SDE II - Gen AI

The role

The engineer will work on Generative AI, model fine-tuning, optimization, and on-device deployment for iOS and Android. This includes image generation, training pipelines, and reducing inference latency and memory usage on consumer devices.

What you will do

• Work on Image Generation, VTON, identity-preserving and reference-based generation
• Perform LoRA training, fine-tuning, personalization, and adapter-based techniques
• Conduct PyTorch-based training and experimentation
• Work with Diffusion / Transformer-based image generation architectures
• Handle dataset preparation, training pipelines, and evaluation
• Perform model conversion and deployment using ONNX / ONNX Runtime
• Use inference optimization using TensorRT
• Apply quantization using FP16 / INT8 / INT4 and other optimization techniques
• Execute on-device inference on iOS using Core ML and Android using TFLite/LiteRT, ONNX Runtime, or similar runtimes
• Perform performance profiling and debugging across CPU, GPU, NPU / ANE

Required qualifications

• 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

Nice 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

About the company

Glance is an intelligent shopping agent powered by proprietary agentic intelligence and generative AI. It is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi.