Location: Remote (India-based preferred) Type: Full-time | Founding Team | High Equity Company: Flickd (www.flickd.in) About the Role We’re building India’s most advanced virtual try-on engine — think Doji meets TryOnDiffusion, but optimized for real-world speed, fashion, and body diversity. As our ML Engineer (Computer Vision + Try-On) , you’ll own the end-to-end pipeline : from preprocessing user/product images to generating hyper-realistic try-on results with preserved pose, skin, texture, and identity. You’ll have full autonomy to build, experiment, and ship — working directly with React, Spring Boot, DevOps, and design folks already in place. This is not a junior researcher role. This is one person building the brain of the system - and setting the foundation for India's biggest visual shopping innovation. What You’ll Build Stage 1: User Image Preprocessing Human parsing (face, body, hair), pose detection, face/limb alignment Auto orientation, canvas resizing, brightness/contrast normalization Stage 2: Product Image Processing Background removal, garment segmentation (SAM/U^2-Net/YOLOv8) Handle occlusions, transparent clothes, long sleeves, etc. Stage 3: Try-On Engine Implement and iterate on CP-VTON / TryOnDiffusion / FlowNet Fine-tune on custom data for realism, garment drape, identity retention Inference Optimisation TorchScript / ONNX, batching, inference latency minimization Collaborate with DevOps for Lambda/EC2 + GPU deployment Postprocessing Alpha blending, edge smoothing, fake shadows, cloth-body warps You’re a Fit If You: Have 2–5 years in ML/CV with real shipped work (not just notebooks) Have worked on: human parsing, pose estimation, cloth warping, GANs Are hands-on with PyTorch , OpenCV, Segmentation Models, Flow or ViT Can replicate models from arXiv fast, and care about output quality Want to own a system seen by millions , not just improve metrics Stack You’ll Use PyTorch, ONNX, TorchScript, Hugging Face DensePose, OpenPose, Segment Anything, Diffusion Models Docker, Redis, AWS Lambda, S3 (infra is already set up) MLflow or DVC (can be implemented from scratch) For exceptional talent, we’re flexible on cash vs equity split. Why This Is a Rare Opportunity Build the core AI product that powers a breakout consumer app Work in a zero BS, full-speed team (React, SpringBoot, DevOps, Design all in place) Be the founding ML brain and shape all future hires Ship in weeks, not quarters — and see your output in front of users instantly Apply now, or DM Dheekshith (Founder) on LinkedIn with your GitHub or project links. Let’s build something India’s never seen before.
As a Backend + DevOps Engineer Intern at Flickd, you will be part of a dynamic team working on a social shopping app that integrates trending videos with e-commerce. Flickd's platform leverages video streaming, machine learning, and messaging to provide users with a seamless shopping experience. The technologies used include Java, Spring Boot, and AWS for system development and scaling. Your role will involve developing and optimizing backend services while handling cloud deployments. This internship offers valuable hands-on experience in building scalable, high-performance systems. Your responsibilities will include developing and maintaining backend services using Java and Spring Boot, deploying and managing applications on AWS (EC2, S3, RDS, etc.), implementing CI/CD pipelines for smooth deployments, optimizing database performance (MySQL, NoSQL), and monitoring system performance to troubleshoot issues. To succeed in this role, you should have a strong understanding of Java, Spring Boot, and REST APIs. Familiarity with AWS services such as EC2, S3, IAM, and RDS is essential. Basic knowledge of Docker, Kubernetes, and CI/CD pipelines would be a plus. A problem-solving mindset and a willingness to learn are key traits we are looking for in candidates. In return, Flickd offers a monthly stipend of 12K+ (performance-based) during the internship period. There is also a potential full-time job opportunity with a competitive annual package of 10-12 LPA. The location of the internship is Saket, South Delhi, and it is an offline role. This internship provides you with the opportunity to work on real-world video streaming and e-commerce applications. If you are enthusiastic about backend development, DevOps, and working on cutting-edge technologies, we encourage you to apply now and become a valuable member of our amazing team at Flickd!,
Location: Saket, South Delhi (Offline) Stipend / Salary: 20K-35K INR per month Team Size: Small, high-energy creative team About Us: We are building a fast-growing, trend-driven Instagram presence for Flickd. Our mission: create scroll-stopping Reels, Shorts, and Stories that connect with Gen Z and millennials. This is not a desk job- we move fast, experiment daily, and love viral content. What You’ll Do: Conceptualize, shoot, and post engaging Instagram Reels, Shorts, and Stories daily. Follow and leverage trends to create viral content. Collaborate closely with our Video Editor and Social Media Strategist. Bring your own creative ideas and experiment with formats, styles, and narratives. Track performance and adapt content based on engagement insights. Who You Are: Passionate about Instagram, short-form content, and Gen Z trends. Comfortable on-camera and confident storytelling ability. Quick thinker, fast executor, and highly creative. Can handle 2–3 content pieces per day with quality and style. Fluent in Hindi & English (spoken + written). Prior experience with Reels, Shorts, TikTok, or social content preferred. Why Join Us: Work with a small, high-energy creative team in Delhi. Experiment freely with content formats and trends. Opportunity to grow as a core part of the content team shaping our brand. See your work reach thousands/millions of users.
Location: Remote / Delhi Duration: 3–6 months (PPO possible) Commitment: 70–90 hours/week — this is not a “light” internship. About Dopplefeed Dopplefeed is a virtual try-on and personalised fashion feed that shows users how clothes will look on them before they buy. We’re making online shopping feel as natural — and addictive — as scrolling TikTok. We’re not another startup. We’re building a visual commerce engine that merges fashion, AI, and motion — and it takes insane focus to pull off. If you’ve ever looked at an app and thought “I wish I built that” , this is your shot. What You’ll Do You’ll help craft the most visually addictive mobile experience in fashion tech. This means: Building React Native screens that move like TikTok , not like an e-commerce app. Implementing scroll-native interactions , feed logic, and AI try-on previews. Optimizing for feel — not just functionality. Every scroll, swipe, and flick should hit like dopamine. Working hand-in-hand with our designers and backend devs, iterating daily. Writing clean, fast, resilient code — and shipping new builds weekly. If your idea of “frontend” is just pixels - this isn’t for you. If it’s about emotion, flow, and obsession - welcome home. Tech Stack React Native / Expo TypeScript NativeWind / Tailwind Reanimated / Gesture Handler API integrations with Spring Boot + AI endpoints You’ll Fit Right In If You Treat design, code, and speed as one language. Love making products that feel alive. Learn fast and hate being idle. Believe weekends are also for building when it’s worth it. Can handle controlled chaos and unfinished Figma files. Don’t need handholding - just direction and trust. This is for people who’d rather ship something real than add another “internship” to their résumé. Bonus Points Built your own mobile app or side project. Have played with 3D, AR, or camera-based UI. Can prototype fast and make things look buttery . Why Join You’ll learn what real product velocity feels like. You’ll work directly with founders. And if you crush it, you’ll have a PPO and equity discussion faster than any corporate internship could dream of. We don’t offer balance. We offer immersion, velocity, and the rare chance to build something people will remember. How to Apply Send us: Your GitHub / App Demos / Portfolio A short note on your favorite mobile app and what makes it feel fast, smooth, or addictive to careers@flickd.app with subject: “Frontend Dopamine Engineer – [Your Name]” Job Types: Full-time, Internship Contract length: 3 months Pay: Up to ₹50,000.00 per month Benefits: Paid time off Ability to commute/relocate: Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required) Experience: Front-end development: 1 year (Preferred) Work Location: In person
Location: Delhi Duration: 3–6 months (PPO opportunity) Commitment: 70–90 hours/week - expect pressure, not perks. About Flickdfeed Flickdfeed is building the virtual try-on and personalised fashion feed that lets users see how clothes look on them before they buy. We’re merging AI, commerce, and dopamine-level UX to make online shopping feel as fluid as scrolling TikTok. Under the hood, Flickdfeed runs on an ambitious backend stack - powering real-time personalization, AI try-on generation, and feed ranking across thousands of SKUs. Every millisecond matters. Every API call counts. This isn’t a “backend internship.” It’s backend under fire. What You’ll Do You’ll help architect, build, and optimize Flickdfeed’s core backend - from AI pipelines to infra scaling to feed ranking systems. Build REST APIs and microservices using Spring Boot and PostgreSQL . Design and optimize data flows for personalization, try-on generation, and product recommendation. Work on infra performance, caching, scaling, and monitoring — real systems, not demos. Collaborate with frontend and AI engineers to ship fast, connected experiences. Write clean, modular, production-ready code that runs under load. Debug things that break at 3 AM - and take pride in fixing them before sunrise. Our Stack Spring Boot + Java 17 MySQL / Redis / RabbitMQ AWS / Cloud Run / Docker / CI-CD Pipelines Python microservices for AI, embedding, and personalization Realtime feed systems , API gateways, and AI orchestration layers You’ll Fit Right In If You Dream in system design diagrams and wake up thinking about latency. Love optimizing for milliseconds and debugging deadlocks. Know that clean architecture > fancy frameworks. Are obsessed with logs, metrics, and infra stability. Prefer building something complex over explaining something simple. Can’t stand corporate fluff - only working code earns respect. Are okay working till 3 AM if it means shaving 200ms off an API. Bonus Points Experience with ML model serving , AI inference APIs , or image processing systems . Comfort with Kubernetes, Cloud Run, or Docker-based infra . Experience with load testing, distributed systems, or observability tools . You’ve built something heavy - not pretty, but real . Why Join You’ll see what it takes to run a real AI x consumer system at scale - not a toy project. You’ll work directly with founders and ship backend that drives Flickdfeed’s core experience. You’ll learn infra, architecture, and ownership faster here than anywhere else. This is a grind. But if you make it, you’ll walk out not just as a developer - but as an engineer who can build and run anything.