Applied Machine Learning Scientist, Chloris Geospatial
More information about location
2 days a week in office
Natural capital insight platform
Open for applications
Natural capital insight platform
1-20 employees
Open for applications
More information about location
2 days a week in office
1-20 employees
Company mission
To accelerate the global transition to a net-zero and nature-positive economy with the most robust, relevant, and cost-effective natural capital insights.
Role
Who you are
- We are looking for an experienced professional with a strong background in machine learning, including experience with time series analysis, raster processing, and/or computer vision
- Geospatial and remote sensing experience are a plus
- You are creative and results-driven and know how to build and evaluate models that can be effectively deployed in production
- You have experience building models that combine data from multiple sources, and you understand geospatial data
- Expertise in machine learning is essential, but experience and knowledge of time series, multivariate statistics, and Bayesian methods are also important
- You are creative and you know how to build and evaluate high quality models that can be deployed operationally
- Advanced degree (preferably PhD) combined with industry experience in Computer Science, Statistics, Mathematics, is a must
- MS with 4+ years of relevant experience
- PhD with 0-2 years of relevant experience
- Knowledge of multivariate statistics, Bayesian methods, and time series analysis
- Experience with open-source programming languages (i.e. Python, R)
- Experience using common machine learning libraries and tools (i.e. TensorFlow, PyTorch, Scikit-Learn)
- Experience in computer vision, and/or deep learning
- Experience building and deploying production-grade machine learning systems
- Knowledge of geospatial analytics and remote sensing is advantageous
- Ability to communicate and collaborate with software engineers and product developers. Comfortable working with unstructured data and building creative solutions. Strong communication skills, positive attitude, independent and resourceful, and excited to work in a fast-paced and collaborative team environment
What the job involves
- As a Machine Learning Scientist, you will apply your expertise in machine learning to build operational, scalable models that drive our commercial products, solving complex problems and integrating data from multiple sources
- You will use geospatial analytics and machine learning to build operational models that are the foundation of our commercial products
- This position will report directly to the Chief Science Officer
- Develop and implement advanced machine learning models that map ecosystem properties (land cover, carbon density, biodiversity, etc.) and changes therein
- Collaborate with a team of geospatial and remote sensing experts
- Collaborate with software engineers to operationalize models you develop in a production environment
- Create tools for model assessment and verification using robust statistical methods
- Create tools that create compelling visualizations of model results
- Deploy models in operational environments and support their ongoing performance evaluation and optimization
Our take
As companies are beginning to be challenged to adopt nature-based solutions at an increasing rate to meet climate and biodiversity goals, Chloris Geospatial is providing a platform to help them.
A technology company that is providing nature-based solutions to climate change. Chloris Geospatial utilizes geographic data in order to help its clients in a number of industries better leverage geospatial data insights so they can make better decisions when it comes to their effective actions towards the climate and nature.
With multiple successful funding rounds under its belt, Chloris is set to continue advancing its technology and expand its spatial coverage and grow its customer support services. An important tool, going forward Chloris' technology is going to greatly help in improving the quality of life around the globe.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Sep 2021
$2.5m
SEED
Total funding: $2.5m
Company benefits
- Hybrid work environment
Company HQ
Government Center, Boston, MA
Leadership
Marco Albani
(CEO & Co-Founder)Experienced sustainability executive, having worked previously as the first Director of the Tropical Forest Alliance at the World Economic Forum, and as a Senior Expert with McKinsey & Company's sustainability practice.
Alessandro Baccini
(CSO & Co-Founder)A member of the NASA Carbon Monitoring System Science Team since 2014, and previously worked as a Senior Scientist at the Woods Hole Research Center.
Giulio Boccaletti
(Co-Founder)With over two decades experience in climate and sustainability, they previously led the water practice of The Nature Conservancy, and was a Climate Scientist at Princeton and MIT.
Mark A. Friedl
(Co-Founder)A Professor of Earth and Environment at the Boston University, they have served on numerous science teams for NASA. Previously co-founded and served as CSO for TellusLabs, a remote sensing technology company.
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