Machine Learning Engineer Jobs in Torrance, CA (4,990)
Embedded Software Engineer
Junior java developer /Data Analyst/Scientist
Sr Software Engineer
Manager, Machine Learning Engineering - Ad Platforms
Senior Machine Learning Engineering Manager, Ad Platforms
Research Scientist (Computer Graphics, Vision and Machine Learning)
AI & GenAI Data Scientist - Manager
Software Development Engineer - AWS, Amazon GuardDuty
Artificial Intelligence Scientist IV
Machine Learning Engineer - Remote
Lead Software Engineer - AI and Observability
Spacecraft Software and Data Visualization Systems Engineer
Manager, Data Scientist (Sales and Marketing Platforms)
Senior Machine Learning Engineer - Disney Streaming
Software Engineer II - ML and Observability
Principal Data Scientist
Principal Data Scientist
Principal Data Scientist
Principal / Staff Data Scientist
Entry level Java Microservices developer/ data scientist
Principal Software Engineer
Software Engineer, Infrastructure
java full stack developer/Data engineer/Data Scientist
Senior C++ Software Engineer
Staff C++ Software Engineer
Principal Flight Software Engineer
Entry Level Programmer/Coder/Developer/Data Scientist/Analyst/Engineer
Principal Engineer Software
Cloud Solution Engineer 4 (Artificial Intelligence, Driving Customers)
Android Software Engineer - AI Trainer
Principal Embedded Software Engineer (Actuators & Control Systems)
Senior Software Engineer - Machine Learning
Machine Learning Engineer
Job Description
Working as a Machine Learning Engineer in Torrance, CA
There are 4,990 Machine Learning Engineer opportunities available in Torrance, CA all with unique requirements.
Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.
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