Machine Learning Engineer

Howmet Aerospace Engines offers a role that puts machine learning at the core of manufacturing progress. This onsite position in Whitehall, Michigan invites you to design, build, and deploy deep learning and ML solutions that address challenges across casting, alloy, core, and rings facilities. Work with cross functional teams at the Howmet Research Center to translate data into tangible production improvements.

Benefits

• Be at the forefront of innovation, applying machine learning to aerospace manufacturing.
• Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems.
• Access professional growth opportunities and a chance to directly impact Howmet Aerospace’s success.

Responsibilities

• Design, develop, and evaluate advanced deep learning architectures such as CNNs, Mask R-CNNs, and YOLO to address complex manufacturing scenarios.
• Train and optimize generative models to accelerate development, including diffusion models, VAEs, and GANs.
• Build and refine machine learning algorithms to enhance Howmet products across all business units.
• Construct, manipulate, and analyze large datasets using Python and SQL.
• Leverage transfer learning 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 relationships and improve manufacturing processes.
• Present data-driven conclusions to non-technical audiences.
• Identify opportunities to optimize processes and implement continuous improvement tools using machine learning.
• Promote a data-driven culture 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.

Requirements

• BS degree from an accredited university in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics.
• Minimum of 2 years of hands-on experience in deep learning and machine learning applying advanced statistical methods and algorithms to production or field data using Python.
• Experience with feature engineering techniques including feature creation, selection, and transformation.
• Legally authorized to work in the United States; employment eligibility verification will be required at the time of hire. Visa sponsorship is not available for this position.

Technologies

• Python
• SQL
• Power BI