Job Description
The role involves developing and deploying advanced machine learning models, primarily using deep learning techniques, to analyze geospatial satellite data for applications such as change detection and object recognition, supporting innovative remote sensing solutions at a global scale.
Key Responsibilities
- Develop, implement, test, and maintain geospatial machine learning models and algorithms.
- Advance geospatial analytics through computer vision, time series, and ML techniques to extract insights from satellite data.
- Collaborate with cross-functional teams to define requirements, validate model outputs, and ensure seamless integration of ML solutions.
Requirements
- Six years of relevant experience of which five years of experience is in machine learning.
- Bachelor's degree in Computer Science or a similar field.
- Deep familiarity with time series methods, computer vision, and embeddings, with the ability to implement, train, and optimize neural networks.
- Experience wrangling large datasets, ideally with geospatial libraries, combined with frameworks like PyTorch or TensorFlow for model development and training.
- Ability to experiment with model architectures, and derive data-driven insights to iteratively improve performance and accuracy using an analytical mindset.
- Hands-on production expertise in deploying models via Docker, Kubernetes, or similar technologies, and understanding best practices for monitoring and maintaining them at scale.
- Experience with cloud platforms such as AWS or GCP.
- Excellent communication skills, capable of explaining technical topics to diverse audiences.
Benefits & Perks
Comprehensive Medical, Dental, and Vision plans
Health Savings Account (HSA) with a company contribution
Generous Paid Time Off in addition to holidays and company-wide days off
16 Weeks of Paid Parental Leave
Wellness Program and Employee Assistance Program (EAP)
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Commuter Benefits if local to an office
Discretionary short-term and long-term incentives (bonus and equity)
Salary range based on location and experience (e.g., $142,800 - $203,200 USD in US locations)
Ready to Apply?
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