Applied AI Scientist

1 hour ago

Remote, United StatesSenior

Base Salary

$128k - $216k/yr

Responsibilities

Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence.
Build and operate end-to-end AI/ML pipelines covering data ingestion, preprocessing, feature engineering, training, evaluation, and production inference.
Productionize reasoning models, vision-language models, and multimodal AI systems combining imagery, geospatial signals, and structured data.
Architect training and experimentation frameworks with automated pipelines, experiment tracking, benchmarking, and reproducible evaluation.
Create synthetic datasets and test harnesses to validate model performance, robustness, and edge-case behavior.
Optimize models and inference systems for scalability, latency, cost efficiency, and reliability on cloud infrastructure.
Maintain production inference systems, including monitoring, model versioning, retraining workflows, and performance tracking.
Collaborate with domain experts, software engineers, product managers, research partners, and external organizations to deliver practical Earth AI capabilities.

An MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field, or equivalent practical experience.
At least 5 years of experience building and deploying machine learning systems in production environments.
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 in areas such as vision-language models, multimodal learning, reasoning models, large language models, computer vision, or geospatial AI.
Strong programming skills in Python and experience with PyTorch, TensorFlow, or JAX.
Experience building reproducible experimentation pipelines with model evaluation, dataset versioning, and experiment tracking.
Experience deploying models into production using 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.
Preferred experience with geospatial data, remote sensing, satellite imagery, or Earth observation systems.
Preferred experience building or fine-tuning foundation models, multimodal models, or agentic AI systems.
Preferred familiarity with Google Cloud Platform and large-scale AI/ML infrastructure.
Open-source AI contributions, research publications, or patents are preferred.

Competitive total rewards package including a 401(k) with company match.
Mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
The position is incentive eligible, with the target determined by role scope, company performance, and individual contribution.
The application window is three days from posting and remains open until a qualified candidate is identified.

1,001-5,000 employees