Ritual
Remote Machine Learning Engineer - Ritual
Ritual, San Francisco, California, United States, 94199
About Ritual
Ritual is the network for open AI infrastructure. We build groundbreaking, new architecture on a crowdsourced governance layer aimed to handle safety, funding, alignment, and model maintenance.Join us on the journey to decentralize 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.Responsibilities
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)Design and implement large-scale data and ML pipelines through a full end-to-end product development lifecycleCollaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge productsAbout you
Experience 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 tradeoffsA high level of end-to-end ownership and self-directionExtras
Familiarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc.Familiarity with DataOps, MLOps, and ML orchestration pipelinesUnderstanding 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 infrastructureEnjoy high-quality healthcarePlan ahead with our company 401k matchWork the way you work best - Remote and/or hybridBe rewarded for your work with our competitive salary philosophyParticipate in virtual and in-person eventsMuch much more!
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Ritual is the network for open AI infrastructure. We build groundbreaking, new architecture on a crowdsourced governance layer aimed to handle safety, funding, alignment, and model maintenance.Join us on the journey to decentralize 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.Responsibilities
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)Design and implement large-scale data and ML pipelines through a full end-to-end product development lifecycleCollaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge productsAbout you
Experience 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 tradeoffsA high level of end-to-end ownership and self-directionExtras
Familiarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc.Familiarity with DataOps, MLOps, and ML orchestration pipelinesUnderstanding 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 infrastructureEnjoy high-quality healthcarePlan ahead with our company 401k matchWork the way you work best - Remote and/or hybridBe rewarded for your work with our competitive salary philosophyParticipate in virtual and in-person eventsMuch much more!
#J-18808-Ljbffr