[FOUND] Machine Learning Engineer for Geographic and Remote Sensing data

We are looking for a Machine Learning / Deep Learning research engineer to work on large multi-modal and multi-resolution representation parsing models with satellite data (image sequences).

What will you do?

• Participate in FONDEF Advanced Technologies project: an ai system for nation-wide agricultural production monitoring based on crowd-sourced and remote-sensing data.
• Develop end-to-end AI solutions.
• Collection of relevant information and design of solutions focused on the optimization of industrial processes.
• Industrial data processing and analysis.
• Development and implementation of advanced predictive models to model subsections of the process.
• Integration and deployment of solutions in production environments.
• Design and build machine learning pipelines focused on optimization and prediction.
• Collaborate on projects within asset-intensive industries such as mining, energy, pulp and paper, among others, applying ML techniques to improve efficiency and productivity.
• Utilize cloud and high performance computing technologies.
• Continuously improve ML solutions through experimentation and iteration.
• Keep up to date with the latest trends and developments in ML and optimization technologies.
• Work closely with the CopernicusLAC team, the European Space Agency’s satellite constellation data hub.
• Work on the creation of a satellite data dataset (Sentinel2, Sentinel3, Sentinel5) throughout Latin America and the Caribbean.
• Design and create foundational models for satellite data processing in conjunction with researchers from CENIA and profe from the University of Chile:
• Use multi-scale self-supervised learning techniques on satellite data.
• Use meta-learning algorithms to learn the model to learn new tasks: crop-land mapping, land-use mapping, drought detection, illegal deforestation, etc.
• Participate in writing scientific papers on data creation and modeling, participate in presentation at appropriate conferences: CVPR, ICCV, ECCV, WACAV, NeurIPS, etc.

What are we looking for?

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering or a related field.
• 1 to 3 years of professional or ML project experience.
• Verifiable experience in software and/or software development based on machine learning, computer vision and satellite data management.
• Knowledge and previous experience with Python and some of the following libraries: PyTorch, Huggingface, TensorFlow, Scikit-Learn or other related libraries (Excluded)
• Knowledge in tools to manage geographic data: geopandas, postGIS, geoSQL, etc…
• Knowledge in spatial data processing: Sentinel2 data, LANDSAT, GEE, etc…
• Demonstrated experience in the design and construction of machine learning pipelines (Excluded).
• Demonstrated experience in the use and development of vision projects (Excluding)
• Familiarity with Machine Learning Operations (MLOps) development practices (Required).
• Experience in consulting projects (Desirable).
• Development experience in Cloud platforms (Desirable).
• Experience with cloud computing platforms, in particular GCP. (Desirable)
• Knowledge of deploying ML models in production environments (Desirable).
• Development experience with code versioning in Git (Desirable).
• Experience with Docker (desirable).
• Experience with Python packages and environments (desirable).

What do we offer?

• Total gross remuneration of $2.500.000. Fixed term project contract 2 years.

Some of our benefits:

• 🏡Hybrid work system: Home office combined with face-to-face workday.
• 👣Comfortable offices close to San Joaquín subway station.
• 🚲Access to bike rack and dressing rooms.
• Parking at preferential price.
• Casual Dress Code.
• 🎁Birthday free day.
• 🎄Advance disconnection for the holidays.
• ✉️ Day off for Vocal de mesa.

CENIA site offer aca