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. You will work with cutting-edge technologies to adapt algorithms and libraries for specialized applications, contributing to innovative projects within the field. 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.

• 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.

<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.®</h3> Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/us/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to <a href="https://www.roberthalf.com/us/en/terms">Robert Half’s Terms of Use</a>.

San Antonio, TX
onsite
Permanent
120000.00 - 140000.00 USD / Yearly
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. You will work with cutting-edge technologies to adapt algorithms and libraries for specialized applications, contributing to innovative projects within the field. 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.
2025-12-05T21:08:37Z