Machine Learning Engineer

Tags: Web3 Jobs • Blockchain Remote Jobs • Web3 Web3 Jobs • Cryptocurrency Developer Jobs • Cryptocurrency Python Jobs • Cryptocurrency Operations Jobs • Web3 Startup Jobs • Web3 Open Source Jobs • Blockchain Machine Learning Jobs • Blockchain Data Jobs • Web3 Ai Jobs • Blockchain Full Time Jobs 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! Apply here 👉 Machine Learning Engineer