Intern (Only 24h Left)

Summary We are looking to grow our Software Controls and Optimization team at GE Aerospace Research are looking for top notch researchers to be part of this exciting journey As a group we innovate and execute on the R D strategy for GE Aerospace on a range of problems from designing inspections solutions for aircraft engines to building predictive prescriptive analytics for a variety of applications that improve process efficiencies in the business Company Overview 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 Site 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 Role Overview We are looking for highly motivated people with proven track record to conduct research in natural language processing artificial intelligence and machine learning As a Research Intern you will be working with scientists in GE Aerospace Research to develop search and recommendation systems to improve the productivity of our Engineering teams Your responsibilities will include developing and implementing algorithms to process Aerospace domain data for recommendation systems design experiments conduct thorough evaluations and document your work e g publications invention disclosures It will also include effectively communicating your findings with the appropriate stakeholders You will encounter and have an opportunity to tackle unique challenges posed by the data and problems in the Aerospace domain including data quality highly domain specific vocabulary and how to integrate AI solutions into our safety critical and regulated workflows and processes Ideal candidate Should have experience in machine learning Required Qualifications Enrolled in full-time Master s or PhD Degree program in Computer Science Electronics Industrial Electrical Mechanical or related Engineering field with specialization in Natural Language Processing Machine Learning AI or Statistics At least one year of experience in conducting independent research Proficient in implementing algorithms data pipelines and solutions in Python Self-starter ability to work in ambiguous environments and excellent communication skills Desired Qualifications Enrolled in a PhD Degree program with at least three years of experience in conducting independent research Previous experience in training fine-tuning including instruction-tuning and deploying Large Language Models vision algorithms Proven track record of publications at top AI conferences or co-located workshops Experience of working with problems and data from industrial domains Aviation Energy Healthcare Manufacturing etc Strong foundations in design analysis and implementation of algorithms in different computing architectures Humble respectful receptive agile eager to learn Transparent shares critical information speaks with candor contributes constructively Focused quick learner strategically prioritizes work committed Leadership ability strong communicator decision-maker collaborative Problem solver analytical-minded challenges existing processes critical thinker 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