Job Description
The role involves developing and deploying advanced machine learning models, primarily in geospatial analytics, to analyze satellite and aerial data for applications such as change detection and object recognition, collaborating with cross-functional teams to innovate and improve remote sensing solutions at a global scale.
Key Responsibilities
- Develop, implement, test, and maintain geospatial machine learning models and algorithms.
- Advance geospatial analytics through innovation in computer vision, time series, and ML techniques.
- 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 must be 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 models 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 (varies by location): 153,000 - 191,300 USD (NYC), 162,600 - 203,200 USD (San Francisco), 142,800 - 178,500 USD (US National)
Ready to Apply?
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