On-site ML Engineer: Deep Learning for Aerospace

Howmet Aerospace; Whitehall Township (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Howmet Aerospace is seeking a Machine Learning Engineer at the Howmet Research Center in Whitehall, Michigan to build deep learning applications supporting casting, alloy, core, and rings facilities.

You will design architectures, train generative models, analyze large datasets with Python and SQL, and collaborate with cross-functional teams to integrate ML into production while promoting a data-driven culture.

Qualifications

• MS or PhD degree 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 demonstrating ability to apply advanced statistical methods and machine learning algorithms to production/field data using Python.
• Experience with feature engineering techniques (feature creation, selection, and transformation).
• Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
• Export-control language conformance as per job posting requirements.

Responsibilities

• Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO) to address 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 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 ML applications and leading training initiatives.
• Collaborate with internal customers to validate trials, implement process enhancements, and integrate ML into production workflows.

Skills

Deep learning

Python

Feature engineering

Data analysis

Communication

Education

MS or PhD in Engineering/Data Science/CS/ML/Materials Science/Mathematics/Statistics/Analytics

Tools

Power BI

SQL

Job description

Howmet Aerospace is seeking a Machine Learning Engineer at the Howmet Research Center in Whitehall, Michigan to build deep learning applications supporting casting, alloy, core, and rings facilities.

You will design architectures, train generative models, analyze large datasets with Python and SQL, and collaborate with cross-functional teams to integrate ML into production while promoting a data-driven culture.