Senior Data Scientist

Dendra Systems provides tools and solutions for restoring ecosystems around the world. Our focus is on promoting biodiversity and restoring natural habitats for the benefit of landowners, businesses, governments, and communities. Our goal is to address climate change through natural solutions using cutting-edge technology.

We are a team of innovative builders who are committed to restoring ecosystems on a global scale. Our advanced AI/ML technology helps us analyse various types of data, such as remote sensing satellite data, aerial survey data, and drone survey data, to assess land conditions and determine the potential for carbon sequestration and biodiversity. Our knowledge management platform enables our customers to take informed actions, including drone swarm seeding, invasive species and erosion management, to grow and monitor the ecosystems needed to restore the natural world we all rely on.

We are looking for passionate people who are interested in solving problems to restore the natural world at-scale. Every day there will be plenty of opportunity to influence the direction of our product and the cultural and technical direction of the team. You will build software that runs at scale, you will learn and experiment with the latest technologies to innovate, you will help other engineers on the team grow to their full potential.

To succeed in this role, you should be experienced in the implementation of cutting-edge techniques for computer vision (object detection, classification, and semantic segmentation). It will be essential to push the boundaries of deep learning by keeping abreast of and building upon the latest research. Additionally, you will need to leverage your understanding of how our ecologists operate to customise these methodologies for optimal outcomes. The ideal candidate should not only be well-versed in machine learning but also capable of effectively communicating with non-technical audiences and guiding and advising a team of highly skilled professionals. We value individuals with very broad and diverse skills.

Requirements

• Experience in developing practical deep learning applications for computer vision
• Experience with curating machine learning training datasets
• Solid theoretical understanding of machine learning and neural networks
• Experience with machine learning methods, such as active learning, clustering, self-/weakly-/semi-supervised learning, out-of-distribution detection, zero- and few-shot learning, working with long-tailed datasets
• Solid hands-on software development skills in Python (numpy, pandas, scipy, scikit-learn)
• Ability to write clear, efficient and scalable code
• Experience with one or more Deep Learning Frameworks (PyTorch, JAX, Keras, Tensorflow)
• Analytical mindset, strong abstract thinking skills
• Guiding and leading the AI Strategy working group
• Proficiency with Python
• Proficiency with git
• Proficiency with Linux use and admin
• Experience orchestrating tasks using frameworks such as AirFlow
• Experience deploying cloud services (bonus for AWS experience)
• Experience scaling workloads using distributed computing frameworks (especially PySpark, Ray Distributed)
• Machine learning background, especially with PyTorch for computer vision.
• Bonys for experience with containerised processes (Docker and Kubernetes)
• Appreciation of code quality and the value of a well tested code base
• Problem-solving aptitude
• Creative thinking skills

Benefits

• Remote working
• Flexible hours
• Competitive salary
• 25 day per year annual leave
• Financial support towards optical, chiropody, dental and therapy treatments as well as 24 hour advice and information line

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