This is for a 2025 summer internship with the following start dates: May - August or June - September for quarter system schools.
As an intern, your responsibilities will include designing, developing and conducting experiments with large AI models that tackle climate & sustainability challenges. You will work with complex earth observation, weather and climate datasets in high-performance multi-GPU computing environments. The resulting work will be of a calibre for publication in peer-reviewed literature.
Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
- Applicants should be PhD & MS students pursuing graduate studies.
- Required expertise includes training and designing AI models with PyTorch for spatial and temporal applications using large geospatial datasets.
- You should be familiar with advanced AI concepts such as diffusion and graph neural networks, and have experience implementing deep learning models for computer vision and timeseries applications.
- Preferred expertise includes implementing advanced AI models including multi-modal fusion.
- We also desire a candidate with experience developing models for geospatial or weather and climate applications.
Other Relevant Job DetailsSupplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.
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