Machine Learning Engineer - Applied AI Systems

About the Role: We're looking for a Machine Learning Engineer to help turn advanced AI research into real-world solutions. In this role, you'll work on training and deploying machine learning models that can handle complex, real-time data from a variety of systems and environments. You'll collaborate closely with research and engineering teams to build scalable pipelines, optimize model performance, and create the infrastructure needed to support fast iteration and deployment.

• Implement and adapt cutting-edge ML algorithms for use in live, data-rich systems
• Train deep learning models on multi-modal inputs (e.g., vision, time-series, sensor data)
• Improve and refine existing models to increase real-world effectiveness
• Use distributed systems and multi-GPU setups to train large-scale models
• Build robust testing and evaluation tools to support ongoing experimentation

• Solid experience with machine learning frameworks like PyTorch or TensorFlow
• Hands-on experience training and deploying deep learning models at scale
• Strong programming and software engineering fundamentals
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized workflows

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Accounting/Auditing
• Industries: Abrasives and Nonmetallic Minerals Manufacturing

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