Machine Learning Engineer

About the Company

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.

Responsibilities

• 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

Requirements

• 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 HuggingFace
• Ability to reason through machine learning system tradeoffs
• High level of end-to-end ownership and self-direction

Preferred Qualifications

• Familiarity with machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide
• 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

Benefits

• Highly competitive compensation package including annual discretionary bonus
• 100% of premiums covered on highest quality healthcare
• Aggressive company 401k match
• Fully remote or hybrid work options