Machine Learning Engineer

$122,800 – $184,200 · Posted 2 days ago

San DiegoLast seen 1 day ago

Summary

Design, develop, and optimize production machine learning systems including model development, inference optimization, and scalable ML infrastructure. Build end-to-end ML pipelines from training through deployment, optimize model inference for latency and cost, integrate LLM/ML models into APIs and microservices, and engineer data pipelines for preprocessing and validation. Requires strong software engineering fundamentals with deep ML expertise, proficiency in Python and systems languages, and experience with ML frameworks, model serving, and distributed computing.

Data Science DevOps / Infrastructure C++Docker Kubernetes Machine Learning Python Rust Agentic AI AI Apis CI CD Cost Aware System Design Data Pipelines Deep Learning Distributed Computing Dynamic Batching Feature Engineering Generative AI Go Gpu Optimization Inference Optimization Kv Cache Management LLM Large Language Models Microservices Model Distillation Model Evaluation Model Quantization Model Routing Model Serving Multi Step Workflows Multimodal Models Onnx Opensearch Orchestration PyTorch Qdrant RAG Retrieval Augmented Generation Retrieval Systems TensorFlow Tool Integration Transformer Architectures Vector Databases Vllm