Role Overview: Design and build CNN/UNet-based generative models, working with GAN and diffusion architectures at extremely high resolutions. You will collaborate with a team to make architecture decisions, implement custom layers and loss functions, and deliver proof-of-concept demos demonstrating new network designs. Responsibilities: Architect end-to-end CNN and UNet models for image generation. Design and implement custom convolutional blocks and loss functions. Develop and maintain GAN- and diffusion-based pipelines capable of producing extremely high-resolution outputs. Translate model diagrams into layer-level code; visualize feature maps and activations to validate design choices. Prototype and iterate on new model ideas, producing working demos of each design. Collaborate with research and engineering peers to refine and scale generative pipelines. Must-Have Qualifications: Deep learning experience with custom CNN and Unet architectures. Proven ability to build models layer-wise: modify layers, inspect internals, and adjust architectures. Hands-on experience designing and training GANs and diffusion models. Experience writing and integrating custom loss functions for image-generation tasks. Please Read Qualifications: Portfolio with at least two projects or repositories demonstrating: Custom CNN/Unet architectures designed or modified from scratch. Layer-level modifications and custom losses implemented. GAN or diffusion-based work that produced high-resolution outputs. Application Requirements: Links to two past projects (GitHub, GitLab, or similar) showing your custom CNN/Unet/GAN/Diffusion work, with brief notes on your contributions. Will be required to demo and create a small POC as proof of skills. We look forward to meeting eager individuals. Show more Show less
Company Description Visual AID is a startup pioneering AI-driven cosmetic surgery planning, focusing on developing a bias-free, inclusive Novel Human-Face Medical Model through rigorous research and medical testing. By leveraging cutting-edge AI technology, we aim to revolutionize the cosmetic surgery industry, providing patients with advanced decision visuals for greater insight and clarity. Our goal is to equip surgeons with unparalleled accuracy and precision, ultimately transforming the future of aesthetic medicine by making cosmetic surgery more accessible, personalized, and confident for all. Role Description This is a full-time remote role for an AI Team Web Developer specializing in React and Tailwind within a SaaS environment. As a Web Developer, you will be responsible for developing, and maintaining web applications. Daily tasks will include implementing front-end features using React, designing responsive user interfaces with Tailwind, and collaborating with other team members to ensure seamless integration between front-end and back-end systems. You will also be involved in troubleshooting, optimizing performance, and keeping the web applications up-to-date with the latest technologies and trends. Qualifications Front-End Development skills: Proficiency in React and Tailwind Back-End Web Development and Web Development skills: Understanding of web development principles and programming Web Design skills: Expertise in creating responsive, user-friendly interfaces Experience with SaaS platforms is a plus Strong problem-solving abilities and attention to detail Excellent communication and teamwork skills Bachelor's degree in Computer Science, Web Development, or a related field What You'll Do Ship feature-complete React views with Tailwind that match Figma precisely (pixel/spacing/interaction). Build robust CRUD + APIs : schema-aware forms, optimistic updates, retries/backoff, error boundaries. Handle heavy data (100k+ rows): virtualized tables, server-side filtering/sorting/pagination, export flows. Design great LRP UX : progress/polling/websockets, toasts, cancellation/resume, idempotent replays. Implement Auth (Clerk/Firebase/Auth0, etc.), roles/permissions, route guards. Wire CI/CD (GitHub + Actions), environment configs, and deploy to modern hosts (Vercel/Cloud Run/etc.). Add observability : front-end logging/metrics, API timing, UX error reporting, feature flags. Write tests (Jest/Vitest + React Testing Library), tidy READMEs, and Postman collections for your flows. Must-Haves 3–6 years building production SaaS front-ends (SDE2-ish); 100+ shipped views or equivalent scale. React 18+ , Tailwind CSS , routing, Suspense, error boundaries, accessibility basics. State/data: TanStack Query (or SWR), one store ( Zustand/Redux ), and react-hook-form (or Formik). Tables: TanStack Table/AG Grid with row virtualization and server-driven queries. Strong API literacy : can read OpenAPI/Postman, design clean client SDKs, and debug with network tools. Auth with Firestore/Clerk/Auth0 (tokens, refresh, RBAC, protected routes). GitHub workflow: branches/PRs/reviews; CI/CD basics; shipped and maintained deployed sites. Performance instincts: code-split, memoization, lazy routes, image/CDN strategy; Lighthouse mindset. Quality: unit/integration tests, visual checks, and self-QA against scope and acceptance tests. Communication: crisp updates, estimates, and on-time delivery. Nice-to-Haves Worked near ML/LLM teams; understands agent/queue patterns and AI-driven UX. D3/Recharts for dashboards; time-series and comparative visualizations. Realtime: WebSockets/SSE ; background jobs + UX for LLM pipelines. Can read any data model and map bindings cleanly (forms, tables, detail views). Security hygiene: input validation, authz checks, secret handling, GDPR/PII awareness. Hiring Process (Fast and easy) Interview (fast screen). POC to prove skills (time-boxed, open-book). 30-day paid onboarding = 4 weekly sprints; we assess reliability, code quality, and delivery each week. Who Thrives Here (Are you a match?) You love building and shipping. You sweat the small stuff (loading states, focus traps, empty/error states) and hit dates. You enjoy collaborating with APIs, scopes, and Figma—and you finish.