Machine Learning Engineer
Core
Building scalable ML services and infrastructure for intelligent data extraction, classification, and augmentation at scale.
Role type
Senior IC machine learning engineer (production systems)
Builds
End-to-end ML platform, model training pipelines, and high-performance inference services
Domain
Data enrichment, production ML systems
Deliverable
production ML models
Required skills
Model deployment (ONNX, vLLM, TensorRT), model training (PyTorch, TensorFlow, Jax), distributed systems, cloud infrastructure, APIs, observability, feature engineering
Preferred skills
None stated
Technologies
PyTorch, TensorFlow, Hugging Face, ONNX, vLLM, TensorRT, Kubernetes, Ray
Responsibilities
Design and build scalable ML services for enrichment workflows; Deploy and optimize models for low-latency, high-throughput performance; Collaborate with product teams on data requirements and model evaluation; Build monitoring and evaluation systems for model quality and reliability
Seniority
Senior, hands-on IC