atRitual

Oct 11

Posted by Ritual
Oct 11, 2024

Ritual is a pioneering company at the forefront of merging artificial intelligence with blockchain technology. Their initial offering, Infernet, stands as a groundbreaking product enabling developers to access AI models both on-chain via smart contracts and off-chain environments. As they progress to their next phase, Ritual Chain, the company is focused on establishing a sovereign layer meticulously crafted to support AI-native operations. This innovation aims to facilitate a new class of applications that sit at the dynamic intersection of cryptocurrency and artificial intelligence.

Ritual boasts a collaborative environment where a team of expert engineers, researchers, and operators work closely to build and refine large-scale decentralized systems and applications. With an emphasis on utilizing tools such as Python, PyTorch, Rust, and GCP, the company fosters a culture of innovation and exploration in domains like distributed systems, AI/ML, and blockchain technology. They offer a highly competitive compensation package, exceptional benefits, and a flexible working arrangement, making it an attractive place for those eager to advance AI infrastructure and applications.

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!

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