### About Ritual Ritual is building a sovereign layer for AI. Our first phase, Infernet, is the first product of its kind to enable developers to access models both on-chain via smart contracts and off-chain. Our next phase, the Ritual chain, will be a sovereign layer custom-built to support AI-native operations and enable a new class of applications at the intersection of crypto and AI. #### About the role We are looking for a talented and motivated Machine Learning Product Engineer to join our team. In this role, you will work on a variety of projects related to applied machine learning, including working with the product team on automating Data ETL pipelines, deploying machine learning models, and shipping customer-facing products. * Scale up model inference and running predictions at scale on cutting-edge models * Work end to end to connect ML models to human interfaces (e.g. APIs, browsers, and applications) * Designing and implementing large-scale data and ML pipelines through a full end-to-end product development lifecycle * Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge products #### About you * Experience as a software engineer * Experience building and serving machine learning models * Familiarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFace * Ability to reason through machine learning system tradeoffs * A high level of end-to-end ownership and self-direction ##### Extras * Familiarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc * Familiarity with DataOps, MLOps, and ML orchestration pipelines * Understanding of modern ML architectures and intuition for inference performance tradeoffs * Experience or interest in working on open-source ML products * Interest in building tech aligned with user privacy, computational integrity, and/or censorship resistance * Experience at fast-growing companies or startups #### Why join us * Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure * Highly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startups * Top 1% of benefits across the web3 startup space * 100% of premiums covered on highest quality healthcare * Aggressive company 401k match * Fully remote and/or hybrid, up to you! * Participate in virtual and in-person events * Much much more!