Top AI & Machine Learning Jobs in Los Angeles, CA

Reposted 4 Hours AgoSaved
Hybrid
Los Angeles, CA, USA
147K-259K Annually
Mid level
147K-259K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Machine Learning Engineer, you will build and deploy models for Snapchat, applying modern ML techniques to solve problems and lead the full ML lifecycle.
Top Skills: Ai ToolsCaffe2Machine LearningPyTorchScikit-LearnSpark MlTensorFlow
Reposted 2 Days AgoSaved
Hybrid
Ocean Park, Santa Monica, CA, USA
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Staff Machine Learning Engineer will lead the development of search ranking systems, focusing on machine learning models for relevance, quality, and personalization through various advanced techniques and collaboration with cross-functional teams.
Top Skills: BeamC++FlinkJavaJaxPythonPyTorchScalaSparkTensorFlow
3 Days AgoSaved
Hybrid
Los Angeles, CA, USA
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.
Top Skills: Audio GenerationAugmented RealityC++ClassificationDiffusion ModelsGenerative ModelsImage GenerationLlmsMobile Real-Time SoftwareObject DetectionOn-Device InferencePythonPyTorchSegmentationTensorFlowTrackingVideo Generation
14 Days AgoSaved
Hybrid
Los Angeles, CA, USA
235K-414K Annually
Expert/Leader
235K-414K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Lead the development of large-scale recommendation systems at Snap, overseeing technical leadership, collaboration across teams, and implementation of machine learning strategies to enhance content discovery and personalization.
Top Skills: Deep LearningMachine LearningPyTorchRecommendation SystemsTensorFlow
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