New

R&D Engineering Co-op: Machine Learning Research

ATI
United States, North Carolina, Monroe
Oct 29, 2025
Creating Long-Term Value Thru Relentless Innov*ation ATI is a global manufacturer of technically advanced specialty materials and complex components. Our products support diverse markets and industries such as aerospace and defense, oil & gas, electrical energy, medical, automotive, and other industrial markets. R&D Engineering Co-op: Machine Learning Research Location:* ATI - Monroe, NC (30 minutes outside Charlotte) Duration: Six months (with flexibility to align with graduate program schedules) About ATI's Graduate Intern Program ATI's Research & Development Engineering Intern Program is designed for graduate students who have a passion for innovation and a desire to apply their expertise to meaningful, real-world challenges. Interns are welcomed as colleagues and work alongside experienced professionals, contributing to projects that advance ATI's leadership in specialty materials and solutions. Based at ATI's Monroe, NC facility, this program provides a unique opportunity to engage in applied research and development in advanced titanium and nickel-based alloys. Participants gain hands-on experience in ATI's fast-paced R&D environment while applying advanced machine learning and artificial intelligence techniques to support ATI's mission of delivering highly engineered products for critical applications. Position Summary We are seeking a highly motivated Master's or PhD student in Computer Science, Data Science, or a related discipline to join ATI's Research & Development organization. The successful candidate will focus on the development and application of machine learning methods for image detection and multimodal AI systems, supporting ATI's efforts to drive innovation in metallurgy and advanced manufacturing. Key Responsibilities Develop and implement ML/AI models for image detection and classification of metallurgical microstructures and defects. Investigate and apply multimodal AI methods to integrate image, sensor, and process data. Design and maintain data pipelines for preprocessing, augmentation, and analysis. Collaborate with ATI engineers and researchers to translate computational results into practical insights. Document results and contribute to internal reports, presentations, and technical reviews. It is ATI's policy to not provide immigration sponsorship for any of the company's positions. ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested. Required Qualifications Currently enrolled in a Master's or PhD program* in Computer Science, Data Science, Electrical/Computer Engineering, or a related field. Strong knowledge of machine learning, deep learning, and computer vision. Proficiency in Python and at least one major ML framework (e.g., PyTorch, TensorFlow). Familiarity with multimodal AI and transformer-based models. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Research experience applying ML/AI methods to image detection or vision-language tasks. Exposure to materials science concepts such as microstructure and alloy development (beneficial but not required). Experience with large datasets and cloud computing platforms (AWS, GCP, Azure). Strong technical writing and presentation skills. What ATI Offers Exposure to challenging, real-world research and development projects. Mentorship from ATI's R&D experts and collaboration with multidisciplinary teams. A supportive environment that encourages innovation, learning, and professional growth. Competitive compensation for the duration of the internship. *It is ATI's policy to not provide immigration sponsorship for any of the company's positions. ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.