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
  • 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!

Apply for this Job

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