Machine Learning Engineer Jobs in Henderson, NV (2,672)
Computer Scientist III
Staff Machine Learning Engineer
Lead Machine Learning Engineer - REMOTE
Junior Machine learning/AI engineer/Software Developer
Machine Learning Engineer
Machine Learning Systems Engineer
Senior Machine Learning Engineer
Machine Learning Engineer Technical Fellow
Junior Machine Learning Engineer
Senior Machine Learning Engineer
Remote Senior Machine Learning Engineer
Remote Staff Machine Learning Engineer
Staff Machine Learning Engineer
Machine Learning Ops Engineer
Remote Senior AI/Machine Learning Engineer
Remote Senior Machine Learning Engineer, Rewards
Remote Machine Learning Engineer I, Personalization, Minesweeper
Remote Senior Machine Learning Operations Engineer (Remote)
Remote Senior Machine Learning Engineer, GenAI Security
Remote Senior Machine Learning Engineer, Relevance and Personalization
Junior Machine Learning Engineer-remote/Junior Sofware Engineer (Remote)
Remote Senior Machine Learning Engineer, Data & Intelligence Products
Remote Senior Staff Machine Learning Engineer - Agentic Systems
Junior Java Developer Remote-Entry level Machine learning AI engineer
Remote Senior Machine Learning Systems Engineer, Ads ML Experience Platform
Remote Lead Data Scientist- IBM Watson
Remote Data Scientist / Software Engineer - REMOTE
Remote Machine Learning Engineer
Lead Artificial Intelligence Engineer
Remote Machine Learning Engineer I, Personalization, Minesweeper
Remote Senior Machine Learning Engineer - ML Planner
Remote Senior Machine Learning Engineer, Relevance and Personalization
Machine Learning Engineer Salary in Henderson
Machine Learning Engineers working in Henderson, NV make an average annual salary of $127K and a maximum annual salary of around $180K.
Job Description
Working as a Machine Learning Engineer in Henderson, NV
There are 2,672 Machine Learning Engineer opportunities available in Henderson, 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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