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Remote Machine Learning Engineer

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Ritual
Remote/Work from Home position
Listed on 2026-02-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Position: 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 Hugging Face

• 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 Data Ops, 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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