Senior Engineer - Machine Learning
San DiegoLast seen today
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 CacheLLMModel DistillationModel QuantizationModel RoutingModel ServingMulti Step AI WorkflowsMultimodal ModelsOnnxOpensearchPyTorchQdrantRAGRetrieval SystemsTensorFlowTransformer ArchitecturesVector DatabasesVllm