- Develop and implement machinelearning models for remote sensing data analysis particularly forland cover change detection and classification. using radar opticalsensors and highresolution imagery.
- Work withlarge remote sensing datasets to identify and analyse changes inland cover over time.
- Interested in developingdeploying and monitoring productionfacing machine learningsystems.
- Collaborate with other team membersand stakeholders to identify research questions design researchstudies and implement solutions.
- Develop andmaintain documentation of code methods and results for transparencyand reproducibility.
- Keep uptodate with thelatest developments in remote sensing techniques and machinelearning particularly as they relate to land coverchange.
- Participate in project planningexecution and reporting including the preparation of technicalreports manuscripts and presentations.
- Providetraining and support to other team members on remote sensingtechniques and machinelearning.
- A love of nature; a strong affinityfor the conservation and restoration of naturalsystems.
- Mission values and impactdriven.
- Experience in remote sensing dataanalysis particularly in land cover change detection andclassification using radar optical sensors (e.g. Landsat andSentinel) and highresolution imagery.
- Strongprogramming skills in Python and experience with Familiarity withscientific libraries and frameworks such as ScikitLearn OpenCVPyTorch TorchGeo TensorFlow or Keras.
- Extensiveknowledge of remote sensing principles including image processingfeature extraction andclassification.
- Familiarity with land coverchange challenges and environmentalissues.
- Experience in working with largedatasets and distributed computing.
- Evidencethat you can work in remote teams are a selfdriver with awillingness to take initiative and committed to continuousimprovement and consistent highperformance within a complex andfastgrowing sector.
- Resilience and the abilityto make difficult things happen.
- Outstandingproblemsolving skills and detailorientation.
- Willingness to join aninternational remote working team travelling to variousinternational settings as needed.
- A provenability to work effectively in diverse culturalsettings.
- Demonstrated results in effectivedelivery and daytoday operationalexcellence.
- An understanding of naturebasedsolutions is desirable but not amust.
- Sharedpurpose culture and values
- Unbeatable workflexibility and balance (global team remote working)
- A truly diverse team of colleagues partnersand clients
- An agile team with unrivalledexperience andtrackrecord
Machine Learning - London, United Kingdom - Revalue Nature
Description
About
Revalueexists to deliver a fundamental stepchange in the quality andintegrity of carbon projects. We do this by rethinking projectsfrom the ground up slightly better is not good enough in order tobuild confidence in the market and deliver impact at a planetaryscale. Our world cannot afford anything less. This mission drivesus every day.
Revalue Nature has raised $10million in Series A funding to be the most innovative and trusteddeveloper for nature on the planet. This new investment was coledby Ecosystem Integrity Fund (EIF) and SJF Ventures two leadingventure firms focused on climate and impact. Join us on our journeyto supercharge the worlds leading naturebased developers reset thebar for quality in the carbon market and protect and regeneratenature at a scale that makes our eyeswater.
What wedo
Revalue supercharges the worldsleading naturebased carbon projects developers. We provide themwith the required technical support and competitive financing to gofrom the initial rapid assessment of potential project areas to thefirst carbon credits issuance and beyond. This is underpinned byour proprietary tech which creates a stepchange in accuracy speedautomation and level ofinsights.
Ourteam
Our global diverse team sitsacross all time zones and has an exceptional trackrecord ofdesigning and delivering high impact carbon projects globally. Wehave built longterm partnerships and are working in iconiclandscapes with leading players in the nature conservation andrestoration space. We offer great opportunities for our talent andwe want this to be a place that allows you to do the best work ofyour life while also focusing on balance outside ofwork.
The Machine Learning RemoteSensing Scientist will be part of the Machine Learning and RemoteSensing team in Revalue. This role would be ideally based in Londonbut candidates in time zones GMT2 can also beconsidered.
Tasks
Whatare the main responsibilities of the role
The role will include but not be limited to:
Requirements
Whatdo we expect from you
Benefits
Whatdo we offer
HOW TOAPPLY
We are actively hiring andwant to hear from you. Please apply by attaching your resume andanswering the following questions:
(a) How wouldyou describe your strength(s) and areas of expertise (12paragraphs)
(b) Describe your key motivations forworking in this sector (1paragraph)
Revalue Nature Ltd is anequal opportunity employer that values diversity and encouragespeople of all ethnic & racial origins gender identitiessexual orientations religions & ideologies socioeconomicstatuses educational backgrounds ages and individuals of allabilities to apply.
Applicants must be legally authorisedto work in their country of residence. Revalue is unable to sponsoror take over sponsorship of an employment visa at thistime.