机器学习工程师

Tags: Web3 Jobs • Blockchain Remote Jobs • Cryptocurrency Web3 Jobs • Web3 Developer Jobs • Blockchain Python Jobs • Blockchain Operations Jobs • Web3 Startup Jobs • Blockchain Open Source Jobs • Web3 Machine Learning Jobs • Cryptocurrency Data Jobs • Web3 Ai Jobs • Cryptocurrency Full Time JobsAbout 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 roleWe 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 modelsWork 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 youExperience as a software engineerExperience building and serving machine learning modelsFamiliarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFaceAbility to reason through machine learning system tradeoffs A high level of end-to-end ownership and self-directionExtrasFamiliarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etcFamiliarity with DataOps, MLOps, and ML orchestration pipelines Understanding of modern ML architectures and intuition for inference performance tradeoffsExperience or interest in working on open-source ML productsInterest in building tech aligned with user privacy, computational integrity, and/or censorship resistanceExperience at fast-growing companies or startupsWhy 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 startupsTop 1% of benefits across the web3 startup space100% of premiums covered on highest quality healthcare Aggressive company 401k matchFully remote and/or hybrid, up to you!Participate in virtual and in-person eventsMuch much more!Apply here 👉 Machine Learning Engineer