Applied AI Scientist
Maxar Technologies2 months 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
Categories
About Maxar Technologies
Maxar Technologies builds and operates commercial Earth‑observation satellites and sells high‑resolution imagery, 3D products, and geospatial analytics to government, defense, and enterprise customers. Headquartered in Westminster, Colorado, the company was formed in 2017 from the merger of DigitalGlobe and MDA and was acquired by Advent International in 2023; it supplies data for national security, mapping, and disaster response, and licenses imagery through subscription and platform APIs.