Machine Learning Engineer Jobs in Sunnyvale, CA (8,145)
Software Engineer, Machine Learning
Senior Vehicle Systems Engineer (Electrical)
Machine Learning Software Engineer
Software Engineer (Machine Learning)
Machine Learning Engineer- Data Scientist
Software Engineer, Machine Learning
Software Engineer, Machine Learning
Software Engineer, Machine Learning
Machine Learning Software Engineer
Senior Machine Learning Software Engineer
Software Engineer - Machine Learning
Machine Learning Engineer Data Scientist
Software Engineer, Cloud Machine Learning
Software Engineer, Machine Learning
Machine Learning / Software Engineer
Software Engineer, Machine Learning
Senior Software Engineer - Machine Learning
Machine Learning Engineer
Machine learning Engineer
Machine Learning Engineer
Machine Learning Engineer
Machine Learning System Software Engineer
Cellular Machine Learning Software Engineer
Principal Machine Learning Software Engineer
Machine Learning Engineer
Machine Learning Engineer
Machine learning Engineer
Principal Machine Learning Software Engineer
Software Engineer (Leadership) - Machine Learning
Machine Learning Engineer
Software Engineer, Machine Learning
Machine Learning Engineer
Machine Learning Engineer
Software Engineer, Machine Learning
Senior Machine Learning Graphics Engineer, Personas - Apple Vision Pro
Machine Learning Engineer Salary in Sunnyvale
Machine Learning Engineers working in Sunnyvale, CA make an average annual salary of $134K and a maximum annual salary of around $239K.
Job Description
Working as a Machine Learning Engineer in Sunnyvale, CA
There are 8,145 Machine Learning Engineer opportunities available in Sunnyvale, 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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