--- title: 'SDE II - Gen AI at Glance' canonical: 'https://feeny.ai/job/sde-ii-gen-ai-glance-bengaluru-6cshsskkwtd3' type: 'job' last_seen: '2026-10-17' --- # SDE II - Gen AI at Glance - **Company:** Glance - **Location:** Bengaluru, India - **Posted:** 2026-10-07 - **Last confirmed live:** 2026-10-17 - **Apply:** https://job-boards.greenhouse.io/glance/jobs/7846609 ## Job description 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." ## About Glance ## Company Overview - **One-liner**: Glance is an AI-driven commerce platform that personalizes shopping experiences across lock screens, mobile, connected TV, and brand websites using generative AI and predictive intelligence. - **Entity Type**: Private (funding stage not disclosed) - **Headquarters**: Bangalore, India (with offices in the US, Japan, and Southeast Asia) - **Founded**: 2019 - **Founders**: Naveen Tewari (CEO), Mohit Saxena (CTO), Piyush Shah (President) ## Core Business - Primary industry: AI-powered commerce, consumer technology, e-commerce personalization. - Target customers: B2B (device manufacturers, telecoms, brands) and B2C (end users via lock-screen discovery). - Mission: To redefine shopping through an intelligent, collaborative, and personal agent that understands user context and intent. ## Products & Services - **[Glance Commerce Platform]**: A lock-screen-first shopping discovery surface that surfaces personalized products and content. Pre-installed on premium Android devices (Samsung, Motorola) and live on Verizon and DirecTV. Reaches 175M+ edge devices globally. - **[GenAI Experience (Glance Intelligence)]**: An AI agent that uses generative AI, commerce intelligence, and user understanding to deliver curated recommendations. Powers interactive, context-aware shopping across mobile, CTV, and brand websites. - **[Commerce Intelligence Model]**: Predictive engine that analyzes user behavior and trends to anticipate needs, powering the recommendation logic behind all surfaces. ## Market Standing - **Valuation / Market Cap**: Not publicly available. - **Key Metrics**: 7M+ MAU in the US (as of 2025), 175M+ edge devices reached globally, target of 30M+ edge devices by December 2026. 200M+ daily active users across all surfaces. - **Notable Investors/Partners**: Pre-installed on Samsung and Motorola devices, integrated with Verizon and DirecTV. Underlying technology from InMobi (co-founded by same leadership team). - **Growth Signals**: Expansion into the US, Japan, India, and Southeast Asia; launch on connected TV and brand websites; rapid scale from 7M to 30M+ target MAU in the US within one year. ## Competitive Advantages - Exclusive lock-screen real estate on leading Android devices (Samsung, Motorola) – a zero‑friction entry point for commerce. - Proprietary AI models (Commerce Intelligence, GenAI Experience, User Understanding) that continuously improve with scale, creating a data moat. - Massive existing reach (200M+ daily users) and deep carrier/device partnerships (Verizon, DirecTV) that competitors lack. ## Strategic Focus - Deepening AI agent capabilities to shift from passive recommendations to proactive, conversational commerce. - Expanding into new geographies (US, Japan, India, SE Asia) and surfaces (CTV, brand websites) to drive 30M+ US MAU by end of 2026. - Building the “agentic commerce” vision where AI anticipates user needs before they search. ## Why Work Here - **AI First Innovation**: Work on cutting‑edge generative AI and predictive commerce models that ship to millions of users daily. - **Massive Scale & Ownership**: Small teams with real impact – every engineer’s work reaches 200M+ people. Culture of “ownership that matters” and fast execution. - **Global, Flexible Work**: Offices in Bangalore, US, Japan, and Southeast Asia; career page states “Headquartered wherever you are,” indicating remote/hybrid flexibility. 1,000+ employees across 3 countries. - **Well‑Being & Growth**: Comprehensive health insurance, wellness benefits (CALM app subscriptions, EAP, counselling), paid time off including parental leave. Emphasis on long‑term career growth and learning. - **Collaborative Culture**: Flat, humble, and transparent teams; shared success and honest collaboration are core values. ## Sources 1. [glance.com/row/about-us](https://glance.com/row/about-us) 2. [glance.com/us/careers](https://glance.com/us/careers) 3. [glance.com/us/careers/latest](https://glance.com/us/careers/latest) 4. [cbinsights.com/company/glance-6](https://www.cbinsights.com/company/glance-6) 5. [linkedin.com/company/glancescreen](https://www.linkedin.com/company/glancescreen) ## Other roles at Glance - [Senior Associate - FP&A](https://feeny.ai/job/senior-associate-fp-a-glance-bengaluru-87vmq1nr6g2t) — Bengaluru, India - [Senior Analyst – Programmatic Monetization](https://feeny.ai/job/senior-analyst-programmatic-monetization-glance-bengaluru-2jzf774a5kfc) — Bengaluru, India - [Consultant - AI Governance Specialist](https://feeny.ai/job/consultant-ai-governance-specialist-glance-bengaluru-zzh997grb1fg) — Bengaluru, India - [Senior Manager – Integrated Consumer Marketing](https://feeny.ai/job/senior-manager-integrated-consumer-marketing-glance-new-york-hee5cqkerdv2) — New York, NY - [Senior Program Manager - Growth](https://feeny.ai/job/senior-program-manager-growth-glance-san-mateo-h05rbpcxyjb3) — San Mateo, CA - [Sr UX Designer](https://feeny.ai/job/sr-ux-designer-glance-bengaluru-sbxp9gzynesa) — Bengaluru, India - [Program Manager, Partner Launches & Delivery](https://feeny.ai/job/program-manager-partner-launches-delivery-glance-new-york-b82kdydfk020) — New York, NY - [UX Designer](https://feeny.ai/job/ux-designer-glance-bengaluru-131tqay3ffrc) — Bengaluru, India - [Project Manager - Glance AI](https://feeny.ai/job/project-manager-glance-ai-glance-tokyo-ejegz2x0k2b0) — Tokyo, Japan - [SDE IV - Backend](https://feeny.ai/job/sde-iv-backend-glance-bengaluru-zjmsqbkk2ty3) — Bengaluru, India