Machine Learning Engineer Jobs in Lubbock, TX (306)
Commercial Construction Project Manager
Commercial Construction Superintendent
Staff Machine Learning Engineer
Lab Technician
Junior Data Scientist/Java full stack developer
Data Engineer
Data Engineer
Senior Software Engineer
Senior Process Engineer
Software Engineer II IS - Remote
Senior Software Engineer & Project Lead
Embedded AI/ML Engineer - Power Electronics Innovations
Senior Software Engineer Data Center Platforms
Lead Information Technology Specialist (Software Engineer)
Senior Principal Software Engineer IS - Cloud Engineering, Hybrid
Specialist Service Representative II
Remote .NET Core Software Engineer
Senior Back End Developer
Data Engineer II: Real-Time Data & Analytics Platform
Webber - Utility Laborer - Heavy Civil
Construction Senior Project Manager
Software Engineer, Machine Learning
Entry Level Data Analyst
Senior Data Scientist
Manufacturing Automation Engineer
Lead Information Technology Specialist (Software Engineer)
Assistant Vice President - Emerging Technologies
Content Manager
Quality Technician
Software Engineer, Machine Learning
Software Engineer
Remote Software Engineer II: Research & Healthcare Systems
Remote Software Engineer II for Research & Trials Tech
Machine Learning Engineer Salary in Lubbock
Machine Learning Engineers working in Lubbock, TX make an average annual salary of $142K and a maximum annual salary of around $193K.
Job Description
Working as a Machine Learning Engineer in Lubbock, TX
There are 306 Machine Learning Engineer opportunities available in Lubbock, TX 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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