Machine Learning Specialist (Remote, Based In Indonesia/Apac) At Revalue Nature

Revalue Nature: Revalue Nature's mission is to make ecosystems function, at scale. We do this by developing the highest integrity nature-based projects globally, with our team of carbon experts, advanced climate tech and data intelligence platform.

We are building on strong foundations to deliver at scale and with the highest integrity:

• We have built long-term partnerships and are working in iconic landscapes with leading players in the nature conservation and restoration space.
• We offer unrivalled opportunities for our talent. We want this to be a place which allows you to do the best work of your life, while also focusing on balance outside of work.
• Our team has an exceptional track-record of designing and delivering high impact carbon projects.

What are we looking for?

We are not just another company in this space, we want to be the leaders, and we are rapidly scaling up our team to achieve it. We are looking for the most mission-driven, talented people to grow and scale our impact. If you have a ‘bias towards action’ and you are driven by our same values and mission, we want to know you.

Delivering natural solutions at scale requires diverse thinkers truly committed to revaluing nature through transparent, equitable partnerships and systems change. We seek a truly diverse range of applicants from around the world by career stage, background, and approach.

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 a Machine Learning Specialist, 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?

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Requirements

What do we expect from you?

Requirements:

• Strong background in machine learning, deep learning, and computer vision.
• Excellent written and verbal communication skills.
• Strong communication and presentation skills.
• 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.
• Experience with remote sensing data, including satellite imagery, LiDAR, or aerial imagery.
• Proficiency in programming languages such as Python and familiarity with machine learning frameworks/libraries such as TensorFlow, PyTorch, or Keras.
• 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?

• An agile team, with unrivalled experience and track-record.
• Competitive salary and benefits package.
• Unbeatable work flexibility and balance (global team, remote working)
• Shared purpose, culture, and values.
• A truly diverse team of colleagues, partners, and clients.
• On-the-ground work in the most iconic nature landscapes of our planet.

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.

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.

Starting date: ASAP

Location: - Remote.

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.

GET IN TOUCH

To apply, please submit your resume, cover letter, and any relevant portfolio or projects showcasing your skills.