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 (Enrichment)
Builds
End-to-end ML platform, model training pipelines, and high-performance inference services for mission-critical workflows.
Domain
Data enrichment, large-scale data processing, production ML systems
Deliverable
production ML models
Required skills
Model deployment (ONNX, vLLM, TensorRT), model training (PyTorch, TensorFlow, Jax), distributed systems, cloud infrastructure, API design, data preprocessing, feature engineering, model evaluation, observability
Preferred skills
Model optimization, efficient inference, emerging ML techniques
Technologies
Kubernetes, Ray, ONNX, vLLM, TensorRT, PyTorch, TensorFlow, Jax, Hugging Face
Responsibilities
Design and build scalable ML services and training pipelines; Deploy and optimize models for low-latency, high-throughput performance; Collaborate with product teams on data requirements and feature strategies; Build monitoring and evaluation systems for model quality and reliability; Stay current with emerging ML techniques and best practices
Seniority
Senior, hands-on IC
