2 часа назад
Applied AI Scientist (Geospatial AI)
128 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Scientist (Geospatial AI): Design and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence with an accent on multimodal systems, foundation models, and production ML pipelines. Focus on building reproducible experimentation frameworks, optimizing scalable inference, and validating model robustness through synthetic datasets and operational test harnesses.
Location: Remote (United States); U.S. Person status required
Salary: $128,000–$187,000 annually, with location-based ranges up to $215,600
Company
develops spatial intelligence solutions that help decision makers and operators understand current events and anticipate future developments.
What you will do
- 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 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 assess model robustness and edge-case behavior in operational environments.
- Optimize and maintain production inference systems for scalability, latency, cost efficiency, reliability, monitoring, versioning, retraining, and performance tracking.
Requirements
- 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.
- Experience delivering end-to-end ML pipelines, reproducible experimentation systems, model evaluation, dataset versioning, and experiment tracking.
- Hands-on experience with deep learning, including vision-language models, multimodal learning, reasoning models, LLMs, computer vision, or geospatial AI.
- Strong Python skills and experience with PyTorch, TensorFlow, or JAX, plus production deployment using cloud and containerized infrastructure.
- Familiarity with distributed training, large-scale data processing, model optimization, and collaboration across research, engineering, and product teams.
Nice to have
- Experience 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 and large-scale AI/ML infrastructure.
- Open-source AI contributions, research publications, or patents.
Culture & Benefits
- Competitive total rewards package with a 401(k) and company match.
- Mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
- Incentive eligibility based on contribution, company performance, and/or individual results.
- Equal opportunity workplace focused on inclusion and respect.
Hiring process
- Apply through 's Career page.
- The application window is three days from posting and remains open until a qualified candidate is identified.
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