Machine Learning Engineer II - Recommendation Systems

Glance AI is seeking a Machine Learning Engineer II for Recommendation Systems to build and optimize diffusion-based generation systems for image and video synthesis. The role involves designing LoRA-based personalization pipelines, implementing ControlNet and IP-Adapter, and developing AI agents using frameworks like LangChain. This engineer will own the end-to-end ML lifecycle, collaborate on scalable GPU deployments on Kubernetes, and contribute to research prototypes, focusing on improving generation latency, cost, and output fidelity.

Must Have

• Build and optimize diffusion-based generation systems.
• Design and fine-tune LoRA-based personalization pipelines.
• Implement ControlNet, IP-Adapter, and conditioning models.
• Develop AI agents combining vision, text, and voice.
• Manage end-to-end ML lifecycle: training, deployment, monitoring.
• Deploy scalable GPU workloads on Kubernetes.
• Contribute to research prototypes in generative AI.
• 3-6 years in deep learning, computer vision, or generative modeling.
• Expertise in PyTorch, HuggingFace Diffusers, ComfyUI.
• Understand diffusion processes, UNet architectures, latent space manipulation.
• Experience with LoRA training, merging, and adaptive composition.
• Exposure to MLOps and infra automation (Docker, Kubernetes, Terraform).

Good to Have

• Familiarity with multimodal agents, LangChain, or vector databases (Pinecone/FAISS)
• Contributions to open-source diffusion or LoRA repositories

Perks & Benefits

• Daily meals
• Gym access
• Trainings
• Tech tools
• Regular unwind sessions
• Bring kids to the office
• Bring furry pets to the office

Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment.

Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping.

With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites.

Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital.

Glance - An InMobi Group Company

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.

Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What you will be doing?

Glance is looking for a Machine Learning Engineer.

• Build and optimize diffusion-based generation systems (SDXL, RealVisXL, etc.) for image & video synthesis.
• Design and fine-tune LoRA-based personalization pipelines for identity fidelity, emotion, and style control.
• Implement and maintain ControlNet, IP-Adapter, and conditioning models for guided image generation.
• Develop AI agents that combine vision, text, and voice using frameworks like LangChain or custom orchestration.
• Own the end-to-end lifecycle — training, evaluation, deployment, monitoring, and cost optimization.
• Collaborate with infra engineers to deploy scalable GPU workloads on Kubernetes (KEDA, ArgoCD, Helm).
• Contribute to research prototypes, evaluating new techniques like latent editing, face retention, or multimodal fusion.
• Track and improve key metrics: generation latency, cost per image/video, and output fidelity.

What We’re Looking For

• 3–6 years of experience in deep learning, computer vision, or generative modeling.
• Strong hands-on expertise with PyTorch, HuggingFace Diffusers, and ComfyUI custom node development.
• Solid understanding of diffusion processes, UNet architectures, and latent space manipulation.
• Proven experience with LoRA training, merging, and adaptive composition.
• Exposure to MLOps & infra automation (Docker, Kubernetes, Terraform, ArgoCD).
• Familiarity with multimodal agents, LangChain, or vector databases (Pinecone/FAISS) is a plus.
• Bonus: Contributions to open-source diffusion or LoRA repositories.

"_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."