You'll be responsible for writing and stewarding high-quality, performant frontend code, as well as growing the backend so it can continue to be highly modular, extensible, and testable. Responsibilities Work closely with product managers, designers, machine learning, frontend, and backend engineers to research and develop magic AI features. Research cutting-edge technology to improve existing features and bring new features to our users. Empowering other engineers through mentoring, code review, pair programming, and technical leadership. Build efficient and reusable front-end abstractions and systems. Identify and address performance bottlenecks. Participate in engineering design and code reviews. Help to identify and communicate best practices and methodologies for frontend engineering and video technology. Working collaboratively with team members and communicating effectively. Researching, justifying, and advocating your design choices in the form of design docs. You have disciplined coding practices, experience with code reviews and pull requests, and a creative and conceptual problem-solving approach. Having a widespread impact across the organization by facilitating and spearheading cross-team initiatives that raise the bar for reliability, velocity, and security. This job was posted by Subrina Ahoy Lai from NeuralGarage. Show more Show less

Responsibilities Create generative networks ground up, which may include building on GANs, VAEs, Diffusion, Transformers, etc. Optimize, adapt, or fine-tune existing computer vision algorithms for various tasks like transfer learning, object re-identification, monocular depth estimation, etc. Implement/Adapt existing Joint learning paradigms involving speech and video data. Collaborate with the ML engineering team to deploy trained models into the application layer. Lead projects, mentor junior researchers, and stay updated with the advancements in computer vision, especially generative solutions. Requirements 4+ years of experience in machine learning and computer vision, with a focus on generative networks. Advanced degree in Computer Science, Electrical Engineering, or a related field. Proficiency with a deep learning framework (PyTorch) Experience with image/speech data processing and augmentation techniques. Strong programming skills in Python(must have) and C++(optional) Deep understanding of CNNs, VAEs, GANs, etc. Experience in building production quality. (Working with cloud platforms is a plus. ) This job was posted by Subrina Ahoy Lai from NeuralGarage. Show more Show less

Responsibilities Design and build modular, performant, and maintainable systems across the backend and frontend. Collaborate with PMs, designers, ML engineers, and other developers to define product features and technical scope. Lead or contribute significantly to system architecture discussions, design reviews, and code reviews. Research and integrate cutting-edge AI technologies into real user-facing features. Write clean, testable, and reusable code, and drive best engineering practices through code reviews, automation, and documentation. Identify and optimize performance bottlenecks and ensure smooth scalability of services. Act as a technical mentor to junior developers through pair programming, knowledge sharing, and guidance on best practices. Contribute to or author technical design documents to propose and communicate engineering solutions clearly. Partner with DevOps and platform teams to ensure secure, reliable, and CI/CD-friendly deployments. Requirements 3-8 years of hands-on experience building production-grade software systems. Strong proficiency in Python, with experience in building RESTful APIs using frameworks like FastAPI, Flask, or Django. Experience with React, TypeScript, or other modern frontend frameworks. Good understanding of SQL and data modeling; experience with PostgreSQL is a plus. Familiarity with cloud services (AWS, GCP, or Azure) and containerisation (Docker). Experience working in agile, collaborative, and product-first environments. Strong communication and problem-solving skills with a track record of delivering features end-to-end. A proactive attitude toward technical ownership, product quality, and team velocity. Nice to Have- Exposure to video processing, ML pipelines, or AI APIs is a bonus. Experience with asynchronous task queues (e. g., Celery, Sidekiq). Familiarity with GraphQL or WebSocket-based real-time systems. Prior work in video tech, AI-powered tools, or creative media applications. This job was posted by Subrina Ahoy Lai from NeuralGarage.