Remote Machine Learning Engineer - Ritual

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.
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
Enjoy high-quality healthcare
Plan ahead with our company 401k match
Work the way you work best - Remote and/or hybrid
Be rewarded for your work with our competitive salary philosophy
Participate in virtual and in-person events
Much much more!

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