Machine Learning Engineer Jobs in Reno, NV (1,535)
Mechanical Assembler I (Manufacturing)
Lead Machine Learning Engineer - REMOTE
Junior Java/Full-Stack Developer
Remote Machine Learning Engineer (Remote Position)
Entry Level Machine Learning Engineer
Remote Machine Learning Engineer I, Personalization, Minesweeper
Remote Data Scientist
Remote Lead Data Scientist - GenAI
Senior Data Scientist
Remote Data Scientist TS/SCI FSP
Data Scientist-Direct Hire
Software Engineer, Machine Learning
Remote Software Engineer, Identity
Remote Software Engineer III
Remote Staff Software Engineer, Data Warehouse
Junior Power BI Developer
Remote Staff Software Engineer - Integrations Services
Remote Principal Software Engineer - Commerce
Remote Software Engineer, Data Infrastructure & Acquisition - Ithaca, NY, USA
Remote Staff Software Engineer, Consumer Banking & Credit Cards
Remote Staff Machine Learning Engineer
Remote Lead Data Scientist
Remote Generative AI Engineer (Instructor)
Remote Software Engineer, Data Infrastructure & Acquisition - Minneapolis, MN, USA
Remote ML/AI Engineers
Remote Machine Learning Engineer
Remote Senior / Staff Software Engineer, Mapping
Remote Staff Software Engineer, Data Engineering
Remote Full-Stack Software Engineer (Remote)
Remote Senior Software Engineer, Data Acquisition (Python)
Remote Senior Software Engineer I, Client Connections
Remote Senior Software Engineer
Machine Learning Engineer Salary in Reno
Machine Learning Engineers working in Reno, NV make an average annual salary of $134K and a maximum annual salary of around $192K.
Job Description
Working as a Machine Learning Engineer in Reno, NV
There are 1,535 Machine Learning Engineer opportunities available in Reno, 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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