Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As our Senior Software Developer, you'll contribute to building and scaling our data and ML infrastructure. Rec Room wants to maximize the value of our large volume of data, and you'll be coming in at a critical point in our journey to enable us to do so. You'll have the opportunity to set the foundation for how we think about and build on top of data going forward.

AWS DeepComposer provides a creative and hands-on experience for learning generative AI and machine learning (ML). We recently launched the Edit melody feature, which allows you to add, remove, or edit specific notes, giving you full control of the pitch, length, and timing for each note. In this post, you can learn to use the Edit melody feature to collaborate with the autoregressive convolutional neural network (AR-CNN) algorithm and create interesting Bach-style compositions. Through human-AI collaboration, we can surpass what humans and AI systems can create independently. For example, you can seek inspiration from AI to create art or music outside their area of expertise or offload the more routine tasks, like creating variations on a melody, and focus on the more interesting and creative tasks.

While the knowledge and skills of your hires can drive individual project success, good processes drive the success of a portfolio of projects and the team overall. When creating processes, work with your team and focus on taking small steps and quick iteration of ideas, not major breakthroughs. You'll also need to select the best tech stack to support your objectives. Technology should not be a substitute for good processes and the right team. Instead, as you put processes in place, look for technology to help drive efficiency.

The Senior Software Developer – Machine Learning role is responsible for the detailed design, implementation and testing of machine learning models that automate unstructured data into structured representations. Design and implement efficient pipelines for data manipulation, processing and delivery to our end users. Create tools for automated quality assurance and anomaly detection. Develop quality software through code reviews, automated testing and design reviews and work with both data science and traditional development teams.