Research Engineer – AI/ML and Computer Vision

About the job

Job Description Summary The AI Systems team at GE Aerospace Research is growing, and we are seeking a Research Engineer – AI/ML and Computer Vision to help develop next-generation AI solutions for GE Aerospace products and services. We innovate on problems ranging from engine inspection to predictive and prescriptive analytics that improve safety, reliability, and productivity across the business. Our mission is to unite physics and data to build robust, reliable AI systems that transform productivity in design and engine services. Company Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Job Description As a Lead Engineer – Computer Vision, you will conduct research in computer vision, artificial intelligence, and machine learning and work closely with scientists and engineers to develop vision-based inspection, monitoring, and perception systems for aerospace applications. You will: • Develop and implement algorithms to process aerospace visual data (e.g., images, video, sensor data) for tasks such as defect detection, damage assessment, visual search, and anomaly detection. • Apply deep learning and modern computer vision techniques (e.g., CNNs, vision transformers, detection and segmentation networks) to real-world aerospace problems. • Design experiments, define metrics, and conduct rigorous evaluations to validate model and system performance. • Integrate AI/ML models with physics-based understanding of systems, leveraging modeling, optimization, estimation, or detection technologies to improve performance and robustness. • Validate solutions through simulation and on-target products, maturing technologies for transfer to GE Aerospace businesses. • Document technologies and results through patent applications, technical reports, and publications. • Collaborate in a multidisciplinary environment and communicate results and recommendations to technical peers and business stakeholders. You will address challenges unique to the aerospace domain, including varying operating conditions, complex 3D geometries, multimodal data (e.g., image + text + sensor), data quality constraints, and integration of AI solutions into safety-critical and regulated workflows. Required Qualifications • Master’s degree in Computer Science, Electrical, Electronics, Mechanical, Aerospace, or related Engineering field with specialization in Computer Vision, Machine Learning, AI, or a related area, and 3+ years of relevant experience; OR PhD in a related field. • Demonstrated experience in deep learning for vision, including one or more of: • Image classification, object detection, segmentation • Anomaly/defect detection, 3D vision, or multi-view geometry • Proficiency in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow). • Experience implementing data pipelines, training/evaluation code, and deploying models in experimental or pilot settings. • Knowledge and application of data analytics, optimization, estimation, or detection algorithms. • Self-starter with the ability to work in ambiguous environments and strong communication and teamwork skills. Desired Characteristics • Experience training, fine-tuning, and deploying computer vision models at scale, including on GPUs or specialized hardware. • Experience with large-scale image/video datasets and data curation/augmentation strategies. • Familiarity with multimodal learning (e.g., combining vision with text, sensor, or time-series data). • Experience in industrial domains (Aviation, Energy, Healthcare, Manufacturing, etc.) and understanding of constraints in safety-critical or regulated environments. • Strong foundations in algorithm design, numerical methods, and performance optimization across different computing architectures (e.g., GPU, edge). • Proven track record of technical publications or patents in AI/ML/computer vision venues is a plus. • Experience contributing to or leading end-to-end development of digital or AI products, from concept to prototype or pilot deployment. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes

Requirements

• Master’s degree in Computer Science, Electrical, Electronics, Mechanical, Aerospace, or related Engineering field with specialization in Computer Vision, Machine Learning, AI, or a related area
• Demonstrated experience in deep learning for vision, including one or more of: Image classification, object detection, segmentation, Anomaly/defect detection, 3D vision, or multi-view geometry
• Proficiency in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow)
• Experience implementing data pipelines, training/evaluation code, and deploying models in experimental or pilot settings
• Knowledge and application of data analytics, optimization, estimation, or detection algorithms
• Self-starter with the ability to work in ambiguous environments and strong communication and teamwork skills

Preferred Technologies

• Master’s degree in Computer Science, Electrical, Electronics, Mechanical, Aerospace, or related Engineering field with specialization in Computer Vision, Machine Learning, AI, or a related area
• Demonstrated experience in deep learning for vision, including one or more of: Image classification, object detection, segmentation, Anomaly/defect detection, 3D vision, or multi-view geometry
• Proficiency in Python and at least one deep learning framework (e.g., PyTorch, TensorFlow)
• Experience implementing data pipelines, training/evaluation code, and deploying models in experimental or pilot settings
• Knowledge and application of data analytics, optimization, estimation, or detection algorithms
• Self-starter with the ability to work in ambiguous environments and strong communication and teamwork skills

About the company

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!