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Ritual

Machine Learning Engineer

Remote
Level
Mid
Work type
Remote

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

About the role

Ritual's standard text

About Ritual

Ritual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.

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!

What this role asks for

Particular to this role

CUDA · ETL · Hugging Face · MLOps · TensorFlow

Rare in Ritual's other 9 open postings.

Standard for data science / ML roles

Machine Learning · PyTorch · Python

Common in data science / ML postings at any company.

In most of Ritual's ads

Blockchain

Named in most of its open postings, whatever the role.

79% of this description is written for the role. The rest is Ritual's standard text, folded away below.

Read against Ritual's other open postings on this site.

The team: Engineering

This role is one of 10 open in Engineering.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Blockchain (10 of 10), Python (4 of 10), Rust (4 of 10), Solidity (4 of 10), TypeScript (4 of 10), Golang (3 of 10), Linux (3 of 10)

OTHER ROLES ON THIS TEAM

From the team and dates on Ritual's own job board.

Salary context

65 other open postings titled Machine Learning Engineer state a salary: median USD 150,000 to USD 203,400 a year.

See Machine Learning Engineer salaries in Remote →

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