Senior Machine Learning Engineer
Core
Drive evolution from manual systems to an AI-forward, resilient, scalable platform for a global spatial model product.
Role type
Principal/Staff Machine Learning Engineer (Infrastructure & Platform)
Builds
Large-scale ML infrastructure, training pipelines, distributed compute, model serving, and monitoring systems.
Domain
Spatial computing, Deep Learning, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Systems programming, Deep Learning at scale, Build system architecture (Bazel, Gradle, Cargo), CUDA kernel optimization, CI/CD design, Cross-team technical strategy, Mentorship
Preferred skills
Experience with LiDAR, Vector databases, Imagery, GIS data
Technologies
Python, PyTorch, TensorFlow, JAX, CUDA
Responsibilities
Define multi-year technical strategy for ML platform and infrastructure, Design and deliver modern CI/CD pipelines, Lead architecture of developer loop to support rapid iteration, Write and optimise custom CUDA kernels for deep learning training, Lead cross-team initiatives to reduce friction in development lifecycle, Create dynamic virtual representations of real-world infrastructure
Seniority
Principal/Staff, hands-on IC with mentorship
