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R&D Engineering Intern: Machine Learning Research
ati
- United States
- United States
À propos
Relentless Innov
ati
on
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.
Compétences linguistiques
- English
Avis aux utilisateurs
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