Machine Learning Engineer Jobs in Las Vegas, NV (1,915)
Computer Scientist III
Computer Scientist II
Lead Machine Learning Engineer - REMOTE
Staff Machine Learning Engineer
Computer Scientist
Machine Learning Engineer
Senior Machine Learning Engineer
Junior Machine Learning Engineer
Staff Machine Learning Engineer
Machine Learning Ops Engineer
Senior Machine Learning Engineer
Remote Staff Machine Learning Engineer
Machine Learning Engineer Technical Fellow
Junior Machine learning/AI engineer/Software Developer
Remote Senior Machine Learning Engineer - Learned Planning/Reinforcement Learning
Junior Machine Learning Engineer-remote/Junior Sofware Engineer (Remote)
Remote Senior Machine Learning Engineer, Relevance and Personalization
Junior Java Developer Remote-Entry level Machine learning AI engineer
Data Scientist
Sr Data Scientist
Junior Data Scientist
Junior Data Scientist/Data Analyst / Java devops Developer
Data Scientist II
Senior Data Scientist or Machine learning Consultant
Staff ML Software Engineer
Remote Machine Learning Engineer
Lead Artificial Intelligence Engineer
Entry Level Data Analyst/Scientist
Junior Computer Scientist Systems & Software Engineer
Computer Scientist III
Remote Staff Data Scientist - Fraud & Risk
Computer Scientist I
Machine Learning Engineer Salary in Las Vegas
Machine Learning Engineers working in Las Vegas, NV make an average annual salary of $138K and a maximum annual salary of around $198K.
Job Description
Working as a Machine Learning Engineer in Las Vegas, NV
There are 1,915 Machine Learning Engineer opportunities available in Las Vegas, NV 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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