Principal Machine Learning Engineer
Core
Senior technical anchor and solution architect for the core ML and AI infrastructure platform powering model serving, pipelines, and foundation model efforts.
Role type
Principal Machine Learning Engineer (Platform & Infrastructure)
Builds
Core ML/AI infrastructure including model serving, ML pipelines, data serving, and AI automation tooling for hundreds of internal data scientists and ML engineers.
Domain
AI Infrastructure / MLOps / Distributed Systems (via careerplan.io/jobs/744000138301739-principal-machine-learning-engineer-at-grab)
Deliverable
production ML models | infrastructure
Required skills
Advanced MLOps & ML Platform Engineering, Distributed Systems & Infrastructure, Architecture Design, AI/LLM System Experience, Innovation & AI Fluency, Adaptive Execution & Ownership, Coaching with Care
Preferred skills
null
Technologies
Kubeflow, MLflow, Triton, TorchServe, PyTorch, Ray, Horovod, vLLM, TensorRT-LLM, Kubernetes, GPUs, TPUs
Responsibilities
Design end-to-end solutions for AIP users and serve as senior technical escalation point; Drive state of large-scale training (throughput, reliability, cost); Optimize end-to-end model iteration loop from idea to shipped model; Design and drive integrations across AIP surfaces; Translate user pain points into functional requirements; Produce reference architectures and best-practice guidance; Define strategic roadmap and mentor senior engineers.
Seniority
Principal, hands-on IC with strategy & mentorship
