- Research and develop innovative geo-solutions, including:
- Deeply investigate the latest advances in relevant fields (machine learning, computer vision, and remote sensing) and design your own methods by handpicking, customizing, combining, or devising algorithms
- Choose, combine, and process appropriate satellite/geographic datasets depending on tasks
- Perform experiments to check the feasibility/validity of your own methods and dataset
- Summarize and report results in a clear and easy-to-understand manner
- Implement statistical and machine learning technologies and help software engineers deploy them into production
- Proactively find research themes and address them
- Partner closely with business staff and judge the feasibility of potential business ideas based on your technical knowledge before they are put into practice
- Continuously improve you and your team’s skills
Minimum Qualifications
- 3+ years of practical experience in applying machine learning, computer vision, image processing, or related fields of technologies to solve real-world problems
- Strong knowledge and implementation skill of statistics and machine learning algorithms
- 3+ years of hands-on experience with Linux, Python, and scientific Python ecosystem (NumPy, Pandas, Jupyter, and so forth)
- Experience with deep learning frameworks (TensorFlow, PyTorch, and so forth) to run experimental workflows
- Ability to read academic papers without difficulty and select, combine, and implement technical approaches to solve problems
- Motivation to learn new things and share them with the team
- Good oral and written communication skills in English to convey techniques and results of analyses concisely to both experts and non-experts
Preferred Qualifications
- Master’s degree or Ph.D. in computer science, statistics, machine learning, applied math, data science, or equivalent field
- Experience in implementing your own algorithm and deploying it into production
- Publications at peer-reviewed conferences or journals
- Experience in reproducing papers
- Experience with Docker and GCP
- Experience in handling satellite images or GIS data
- Knowledge of the generation process of electro-optical or SAR satellite imagery
- Knowledge of characteristics of many different satellite image products
