(ML) Machine Learning Engineer - Whitehall, MI

Our client, a leading manufacturer of aero engines and industrial gas turbine components, is a globally recognized public company with a remarkable 75-year history of growth and innovation. Renowned in the aerospace industry, it offers an exceptional company culture that fosters development and provides diverse opportunities. Forbes has honored it as one of the World's Best Employers, highlighting its commitment to excellence and inclusivity.

Company Description & Perks:

• Publicly traded company on a path of continuous growth, recognized by Forbes as a top global employer
• Exceptional insurance coverage and 401(k) matching program (9%), effective upon hire
• Employer contribution to your Retirement Savings Plan account each pay period
• Vibrant company culture and collaborative team environment
• Access to excellent training programs for professional development
• Free fitness center membership
• 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

Our client is seeking a Machine Learning Engineer with expertise in deep learning to join their Research and Development team. This role involves building cutting-edge machine learning and deep learning applications and collaborating with cross-functional teams to support advanced manufacturing operations. The position is based in Whitehall, Michigan.

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 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 teams to validate trials, implement process enhancements, and integrate machine learning into production workflows

Basic Qualifications

• 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, 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)
• Must be legally authorized to work in the United States. Visa sponsorship is not available for this position

Preferred Qualifications

• Minimum of 5 years of professional experience in data science or machine learning
• MS or PhD degree from an accredited university in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics
• Theoretical understanding and practical experience applying reinforcement learning techniques for real-time decision making and control
• Experience using generative models such as diffusion models, VAEs, and GANs
• Comprehensive knowledge of advanced analytics and machine learning techniques
• Strong statistical background with demonstrated expertise in analyzing industrial/manufacturing data
• Familiarity with manufacturing or industrial plant environments and their unique challenges
• Knowledge of the software development life cycle (SDLC)
• Proficiency in visualization tools (e.g., Power BI)
• Exceptional verbal and written communication skills with the ability to convey complex ideas clearly
• Strong organizational skills and the ability to work independently and in a cross-functional team environment

About Augmentis

Augmentis is a specialized recruiting firm focused on accounting, finance, procurement, and engineering talent across the U.S. We partner with growthoriented companies to match highimpact professionals with meaningful roles.

To learn more about Augmentis, visit our website: www.augment-is.com

Representation/employer clarification:

This search is being conducted by Augmentis on behalf of our client. The selected candidate will be employed directly by our client, not by Augmentis.

EEO + disclaimer

Our client and Augmentis are Equal