Machine Learning Engineer
Core
Building and deploying machine learning models for AI-native blockchain applications, specifically connecting models to human interfaces and automating data pipelines.
Role type
Machine Learning Product Engineer
Builds
Customer-facing AI products and data/ML pipelines for the Infernet platform
Domain
Blockchain / AI Infrastructure
Deliverable
production ML models
Required skills
Software engineering, building and serving ML models, Python, PyTorch, TensorFlow, Jax, HuggingFace, system tradeoff analysis
Preferred skills
TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, DataOps, MLOps, ML orchestration, inference performance optimization, open-source ML product experience
Technologies
PyTorch, TensorFlow, Jax, HuggingFace, Triton, CUDA, ROCm, Exo, MLIR, Halide
Responsibilities
Scale up model inference and running predictions at scale, connect ML models to human interfaces (APIs, browsers, applications), design and implement large-scale data and ML pipelines, collaborate with cross-functional teams to create cutting-edge products
Seniority
Mid-level, hands-on IC
