Applied AI Scientist
Maxar Technologies2 hours ago
Remote, United StatesSenior
Base Salary
$128k - $216k/yr
Responsibilities
- Design, develop, and deploy AI-driven applications that convert 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 using 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.
- Implement production monitoring, model versioning, retraining workflows, and performance tracking.
- Collaborate with domain experts, software engineers, product managers, research partners, and external technology organizations.
- Translate advances in foundation models, generative AI, multimodal learning, and reasoning systems into practical applications.
- Maintain engineering standards through code reviews, documentation, disciplined experimentation, and collaborative problem solving.
Requirements
- 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.
- 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 in areas such as vision-language models, multimodal learning, reasoning models, large language models, computer vision, or geospatial AI.
- Strong Python programming skills and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience building reproducible experimentation pipelines with model evaluation, dataset versioning, and experiment tracking.
- Experience deploying models to 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.
- Preferred: experience implementing model monitoring, evaluation pipelines, and automated retraining systems.
- Preferred: contributions to open-source AI projects, research publications, or patents.
- Must be a U.S. Person as defined by the posting, including a U.S. citizen, permanent resident, Asylee, or Refugee.
Benefits
- Competitive total rewards package with a 401(k) and company match.
- Mental health resources.
- Student loan repayment assistance.
- Adoption reimbursement.
- Pet insurance.
- Incentive eligibility based on contribution, company performance, and/or individual results.
- Base pay varies by location; listed ranges include $128,000.00-$187,000.00 in Colorado, New Jersey, and Delaware; $140,000.00-$205,700.00 in the Washington, DC metropolitan area; and $147,000.00-$215,600.00 in California.
- The position is subject to a three-day application window that remains open until a qualified candidate is identified.
Tech Stack
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