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Top Machine Learning Engineer Jobs in San Francisco, CA

22 Days AgoSaved
In-Office
San Francisco, CA
140K-173K Annually
Senior level
140K-173K Annually
Senior level
Big Data
As a Senior Applied Scientist, you will develop machine learning models to enhance NBA 2K's gameplay, focusing on areas such as matchmaking, personalization, and player engagement.
Top Skills: PythonPyTorchScikit-LearnSparkSQLTensorFlow
22 Days AgoSaved
Easy Apply
Remote
San Francisco, CA
Easy Apply
218K-257K Annually
Senior level
218K-257K Annually
Senior level
Other
As a Staff Machine Learning Engineer, you will develop AI infrastructure and automation solutions, utilizing advanced machine learning techniques and collaborating on project execution within the Core Automation Team.
Top Skills: Ai ModelsApache AirflowDatabricksFlinkKafka/KinesisLarge Language ModelsPythonSnowflakeSpark
One Year AgoSaved
In-Office
San Francisco, CA
176K-245K Annually
Senior level
176K-245K Annually
Senior level
The Senior Machine Learning Engineer will design and implement AI/ML solutions, analyze datasets, and communicate insights while collaborating with diverse partners.
Top Skills: HuggingfacePythonPyTorchScikit-LearnSparkmlTensorFlow
Reposted 11 Days AgoSaved
Remote
San Francisco, CA
218K-257K Annually
Expert/Leader
218K-257K Annually
Expert/Leader
3D Printing • AdTech • Esports • 3PL: Third Party Logistics
As a Staff Machine Learning Engineer, you will explore machine learning techniques, develop scalable systems, mentor junior engineers, and collaborate on strategic projects to enhance AI adoption at Coinbase.
Top Skills: Apache AirflowDatabricksFlinkKafkaKinesisPythonSnowflakeSpark
22 Days AgoSaved
Easy Apply
Remote
San Francisco, CA
Easy Apply
170K-257K Annually
Senior level
170K-257K Annually
Senior level
Financial Services
The Senior AI/Machine Learning Engineer will design, develop, and deploy ML models for supply chain optimization and work cross-functionally to drive AI transformation efforts.
Top Skills: AWSAzureGCPGitMlopsPower BIPythonSQLTableau
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8 Months AgoSaved
In-Office
San Francisco, CA
208K-364K Annually
Senior level
208K-364K Annually
Senior level
Lead a team of machine learning engineers to develop vertical ads products, enhance ad experiences, mentor staff, and uphold coding standards.
Top Skills: E-Commerce SystemsMachine LearningPythonSoftware Engineering
2 Days AgoSaved
In-Office or Remote
San Francisco, CA
126K-210K Annually
Senior level
126K-210K Annually
Senior level
Fashion • Retail • Wearables
This Principal Machine Learning Engineer develops AI algorithms for medical devices, focusing on breast cancer detection and ensuring clinically validated technologies.
Top Skills: AWSAzureC++GCPNumpyOpencvPandasPythonPyTorchScipyTensorFlowXgboost
23 Days AgoSaved
Remote
San Francisco, CA
12K-13K Annually
Internship
12K-13K Annually
Internship
Fitness • Food • Healthtech • Other
As a Machine Learning Intern, you'll research and prototype machine learning systems, design ML pipelines, and collaborate with cross-functional teams at Dropbox.
Top Skills: Deep LearningGraph LearningLarge Language ModelsLearning To RankNatural Language ProcessingPythonPyTorchRecommender SystemsScikit-LearnSpeech Processing
26 Days AgoSaved
Easy Apply
Remote
San Francisco, CA
Easy Apply
133K-235K Annually
Expert/Leader
133K-235K Annually
Expert/Leader
Architect and lead large-scale cloud data and AI/ML systems (AWS/Azure) to ingest and process security telemetry. Build production ML solutions, LLMs, and AI agents for SOC automation and threat detection, integrate ML insights into the platform, drive MLOps and deployments, and provide cross-team architectural guidance to reduce analyst workload and improve detection fidelity.
Top Skills: Ai AgentsAWSAzureCi/CdContainerizationData PipelinesGenerative AiInfrastructure-As-CodeLarge Language Models (Llms)MlopsPythonPyTorchScikit-LearnStreaming TechnologiesTensorFlow
8 Months AgoSaved
Remote
San Francisco, CA
237K-263K Annually
Senior level
237K-263K Annually
Senior level
The role involves architecting LLM systems, developing personalized workflows, fine-tuning models, and collaborating cross-functionally. Requires strong analytical skills and experience in ML/AI systems.
Top Skills: JaxKerasPandasPythonPyTorchScikit-LearnSQLTensorFlowXgboost
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