Senior Engineer - Machine Learning
ExpiredSan DiegoLast seen 25 days ago
Summary
Design, develop, and optimize machine learning systems and models for production AI platforms, with focus on inference optimization, scalable ML infrastructure, and deployment. Responsibilities include building ML pipelines, optimizing model inference across hardware environments, integrating LLMs and models into APIs and microservices, designing data pipelines for ingestion and feature engineering, and collaborating cross-functionally on end-to-end ML solutions. Requires strong software engineering fundamentals combined with deep ML expertise, proficiency in Python and at least one systems language (C++, Rust, or Go), and solid understanding of ML frameworks, transformer architectures, and model deployment systems.
Data ScienceDevOps / InfrastructureSoftware DevelopmentC++DockerKubernetesMachine LearningPythonRustAccelerator EnvironmentsAgentic AIAICI CDDeep LearningDistributed ComputingDynamic BatchingEmbeddingsGenerative AIGoGpuKv CacheLLM Large Language ModelsModel DistillationModel QuantizationModel RoutingModel ServingMulti Step AI WorkflowsMultimodal ModelsOnnxOpensearchPyTorchQdrantRAG Retrieval Augmented GenerationRetrieval SystemsTensorFlowTransformer ArchitecturesVector DatabasesVllm