Applied AI Scientist

** Responsibilities*
* ** Minimum Qualifications
** MS or PhD in
** Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field**, or equivalent practical experience.
** 5+ years of experience building and deploying machine learning systems
** in production environments. Demonstrated experience designing and delivering
** end-to-end ML pipelines**, including data processing, training automation, evaluation frameworks, and scalable inference. Hands-on experience developing and deploying
** deep learning models**, particularly in one or more of the following areas:
Strong programming skills in
** Python**, with experience using modern ML frameworks such as
** PyTorch, Tensor Flow, or JAX**. Experience building
** reproducible experimentation pipelines**, including model evaluation, dataset versioning, and experiment tracking. Experience deploying models into
** production environments
** using modern cloud infrastructure and containerized systems. Familiarity with
** distributed training, large-scale data processing, and model optimization techniques**. Ability to collaborate across
** research, engineering, and product teams
** to bring advanced AI capabilities into real-world applications.
** Preferred Qualifications
** Experience working with
** geospatial data, remote sensing, satellite imagery, or Earth observation systems**. Experience building or fine-tuning
** foundation models, multimodal models, or agentic AI systems**. Familiarity with
** Google Cloud Platform (GCP)**, including large-scale AI/ML infrastructure. Experience implementing
** model monitoring, evaluation pipelines, and automated retraining systems**.
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