Machine Learning Engineer Jobs in Lubbock, TX (828)
Remote Staff Software Engineer, Machine Learning (Computer Vision), Remote
Remote Software Engineer
Remote Senior Software Engineer, Auto Labelling
Remote Staff Software Engineer, Agent Creator
Software Engineer, Machine Learning
Remote Senior / Staff Software Engineer, Mapping
Senior Software Engineer - Machine Learning
Junior Data Scientist/Java full stack developer
Software Engineer, Machine Learning
Remote Senior Machine Learning Engineer
Remote Machine Learning Engineer, Personalization
Remote Machine Learning/AI Engineer
Remote Senior Machine Learning Engineer, Rewards
Remote Sr Machine Learning Engineer, AI Research
Remote Senior Staff Machine Learning Engineer - Agentic Systems
Remote Lead Data Scientist- IBM Watson
Remote Lead Data Scientist
Remote Lead Data Scientist - Healthcare
Remote Software Engineer, Machine Learning
Remote Staff Machine Learning Engineer, Ads Content Understanding
Remote Software Engineer, Machine Learning
Remote Machine Learning Engineer
Remote Principal Machine Learning Engineer (Mexico)
Remote Machine Learning Engineer I, Personalization, Minesweeper
Remote Senior Machine Learning Engineer, Relevance and Personalization
Remote Staff Machine Learning Engineer, Ads Content Understanding
Remote Staff Machine Learning Engineer, Underwriting and Credit
Remote Senior Machine Learning Systems Engineer, Ads ML Experience Platform
Remote Senior Data Scientist
Remote Senior AI Engineer / Data Scientist
Remote Staff Data Scientist - Fraud & Risk
Remote Senior Software Engineer, Ads (Remote)
Remote Software Engineer, Full Stack
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 828 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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