About
Revalue exists to deliver a fundamental step-change in the quality and integrity of carbon projects. We do this by rethinking projects from the ground up - slightly better is not good enough - in order to build confidence in the market and deliver impact at a planetary scale. Our world cannot afford anything less. This mission drives us every day.
Revalue Nature has raised $10 million in Series A funding to be the most innovative and trusted developer for nature on the planet. This new investment was co-led by Ecosystem Integrity Fund (EIF) and SJF Ventures, two leading venture firms focused on climate and impact. Join us on our journey to supercharge the world's leading nature-based developers, reset the bar for quality in the carbon market, and protect and regenerate nature at a scale that makes our eyes water.
What we do
Revalue supercharges the world's leading nature-based carbon projects developers. We provide them with the required technical support and competitive financing to go from the initial rapid assessment of potential project areas, to the first carbon credits issuance, and beyond. This is underpinned by our proprietary tech, which creates a step-change in accuracy, speed, automation, and level of insights.
Our team
Our global, diverse team sits across all time zones and has an exceptional track-record of designing and delivering high impact carbon projects globally. We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space. We offer great opportunities for our talent and we want this to be a place that allows you to do the best work of your life, while also focusing on balance outside of work.
The ideal candidate will play a crucial role in developing cutting-edge algorithms, and models to apply Computer Vision and Object-based Recognition, and other machine learning tools to remote sensing data to better understand, describe and analysis complex ecosystems and landscapes. As the Machine Learning - Remote Sensing Lead, you will be responsible for designing advanced analytical models, developing, and implementing robust and scalable models to enhance performance and accuracy, guiding the team members to integrate the new tools in their daily workstream.
The successful candidate will possess a combination of technical expertise in machine learning, remote sensing, and computer vision, as well as strong analytical and problem-solving skills.
This position will be remote and requires excellent communication skills, technical knowledge, and a passion for the environment.
Tasks
What are the main responsibilities of the role?
• Developing and implementing advanced machine learning algorithms: Design and implement machine learning algorithms and models (supervised and unsupervised) specifically tailored for remote sensing applications, such as land cover change detection and classification. This involves working with various data sources, including radar, optical sensors, high-resolution imagery, and ground truth observations.
• Algorithm selection: Evaluate and select the most suitable machine learning algorithms for each specific remote sensing application, considering factors such as efficiency, accuracy, and computational requirements.
• Applying deep learning techniques: Apply deep learning techniques to analyse remote sensing imagery and extract meaningful information. This includes exploring and utilizing deep learning models and architectures relevant to feature extraction, training and fine-tuning, and evaluation and optimization.
• Collaboration and teamwork: Collaborate with other team members and stakeholders to identify research questions, design research studies, and implement solutions. Effective communication and teamwork skills are essential for successful collaboration.
• Documentation and transparency: Maintain documentation of code, methods, and results to ensure transparency and reproducibility of research and analysis. This includes documenting the rationale behind algorithm choices, parameter settings, and data pre-processing steps.
• Keeping up to date with advancements: Stay up-to-date with the latest developments in remote sensing techniques and machine learning, particularly as they relate to land cover change. This involves staying informed about new algorithms, tools, and research publications in the field.
• Project planning and reporting: Participate in project planning, execution, and reporting. This includes preparing technical reports, and presentations to communicate research findings and project progress.
• Training and support: Provide training and support to other team members on data collocation, curation, sampling and machine learning. This may involve mentoring junior team members or conducting workshops and training sessions.
Note: This job description is intended to convey essential responsibilities and requirements and is not an exhaustive list of tasks. Other duties may be assigned as deemed necessary by the company.
Requirements
What do we expect from you?
Requirements:
· Strong background in machine learning, deep learning, and computer vision.
· Proficiency in programming languages such as Python and familiarity with machine learning frameworks/libraries such as TensorFlow, PyTorch, or Keras.
· Experience with remote sensing data, including satellite imagery, LiDAR, or aerial imagery.
· Solid understanding of object-based recognition techniques and image segmentation algorithms.
· Excellent problem-solving skills and the ability to work independently and as part of a team.
· Strong communication and presentation skills.
· Excellent written and verbal communication skills.
· Experience working remotely
Nice to have:
· Experience with specialized remote sensing libraries or tools like GDAL.
· Experience in remote sensing data analysis, particularly in land cover change detection and classification using radar, optical sensors, and high-resolution imagery.
Benefits
What do we offer?
· Shared purpose, culture, and values.
· Unbeatable work flexibility and balance (global team, remote working)
· A truly diverse team of colleagues, partners, and clients.
· An agile team, with unrivalled experience and track-record.
· Competitive salary and benefits package.
If you are passionate about working with data, enjoy solving complex problems, and have the required skills and experience, we would love to hear from you! Join our team and contribute to building robust data solutions that drive our organization's success.
Location: Remote, UK
HOW TO APPLY
To apply, please submit your resume and relevant portfolio or projects showcasing your skills.
Revalue Nature Ltd is an equal opportunity employer that values diversity and encourages people of all ethnic & racial origins, gender identities, sexual orientations, religions & ideologies, socio-economic statuses, educational backgrounds, ages, and individuals of all abilities to apply.
Applicants must be legally authorized to work in their country of residence. Revalue is unable to sponsor or take over sponsorship of an employment visa at this time.
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