Jobs via Dice
Machine Learning Engineer
San Antonio, Texas
We are looking for a skilled Machine Learning Engineer to join our team in San Antonio, Texas. In this role, you will design, implement, and optimize machine learning systems to enhance functionality and scalability.
Responsibilities
Analyze and interpret third-party documentation, including code repositories and research papers, to apply theoretical advances to practical use.
Develop and maintain scalable machine learning systems with a focus on functionality and long-term usability.
Customize and implement machine learning algorithms such as deep neural networks, reinforcement learning, and imitation learning for various applications.
Collaborate with cross-functional teams to integrate machine learning solutions into robotics and industrial systems.
Optimize performance metrics and computational efficiency of machine learning models.
Utilize Python and libraries like PyTorch, HuggingFace, and LeRobot to build and refine algorithms.
Design solutions leveraging cloud computing infrastructure to support robust machine learning operations.
Conduct thorough testing and validation of machine learning models to ensure reliability and accuracy.
Stay updated on emerging trends and technologies in artificial intelligence and robotics.
Enhance robotic systems through advanced machine learning techniques, including computer vision and detection methods.
Requirements
Minimum of 3 years of experience in machine learning or a Master's degree with at least 1 year of relevant experience.
Proficiency in Python and familiarity with machine learning libraries such as PyTorch, HuggingFace, or LeRobot.
Understanding of cloud computing platforms and their application in machine learning systems.
Strong analytical skills and the ability to communicate complex technical concepts effectively.
Experience with computer vision, detection algorithms, and artificial intelligence technologies.
Knowledge of robotics, including robotic systems and software.
Familiarity with TensorFlow and other machine learning frameworks.
Preferred: 5+ years of experience and prior work with industrial robots.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.
All applicants applying for U.S. job openings must be legally authorized to work in the United States.
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We are looking for a skilled Machine Learning Engineer to join our team in San Antonio, Texas. In this role, you will design, implement, and optimize machine learning systems to enhance functionality and scalability.
Responsibilities
Analyze and interpret third-party documentation, including code repositories and research papers, to apply theoretical advances to practical use.
Develop and maintain scalable machine learning systems with a focus on functionality and long-term usability.
Customize and implement machine learning algorithms such as deep neural networks, reinforcement learning, and imitation learning for various applications.
Collaborate with cross-functional teams to integrate machine learning solutions into robotics and industrial systems.
Optimize performance metrics and computational efficiency of machine learning models.
Utilize Python and libraries like PyTorch, HuggingFace, and LeRobot to build and refine algorithms.
Design solutions leveraging cloud computing infrastructure to support robust machine learning operations.
Conduct thorough testing and validation of machine learning models to ensure reliability and accuracy.
Stay updated on emerging trends and technologies in artificial intelligence and robotics.
Enhance robotic systems through advanced machine learning techniques, including computer vision and detection methods.
Requirements
Minimum of 3 years of experience in machine learning or a Master's degree with at least 1 year of relevant experience.
Proficiency in Python and familiarity with machine learning libraries such as PyTorch, HuggingFace, or LeRobot.
Understanding of cloud computing platforms and their application in machine learning systems.
Strong analytical skills and the ability to communicate complex technical concepts effectively.
Experience with computer vision, detection algorithms, and artificial intelligence technologies.
Knowledge of robotics, including robotic systems and software.
Familiarity with TensorFlow and other machine learning frameworks.
Preferred: 5+ years of experience and prior work with industrial robots.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.
All applicants applying for U.S. job openings must be legally authorized to work in the United States.
#J-18808-Ljbffr