Howmet Aerospace Engines is hiring a Machine Learning Engineer with expertise in deep learning to join our innovative Research and Development team. This role involves building cutting-edge machine learning and deep learning applications and collaborating with cross-functional teams to support our casting, alloy, core, and rings facilities. Position will be based out of Whitehall, Michigan at our Howmet Research Center.
Primary Responsibilities
• Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO) to address complex manufacturing challenges.
• Train and optimize generative models to accelerate development (e.g., diffusion models, VAEs, GANs).
• Build and refine machine learning algorithms to enhance Howmet products across all business units.
• Construct, manipulate, and analyze large datasets using tools such as Python and SQL.
• Leverage transfer learning techniques and pretrained models to achieve strong performance with limited data.
• Fine tune existing models for specific applications and datasets.
• Develop customized deep learning architectures to handle diverse data types.
• Conduct statistical multi-factor analyses to uncover complex relationships and improve manufacturing processes.
• Present data-derived conclusions to a non-technical audience.
• Identify opportunities to optimize processes and implement continuous improvement tools using machine learning.
• Promote a data-driven culture across the organization by expanding machine learning applications and leading training initiatives.
• Collaborate with internal customers to validate trials, implement process enhancements, and integrate machine learning into production workflows.