Machine Learning Engineer

Published date Posted on Indeed on Jun 03, 2022 (70 d ago)
About Us:

Carbon Mapper is a non-profit organization with a public-good mission to detect, pinpoint, quantify and track 80% of the world’s methane and carbon dioxide (CO2) point source emissions. Our mission is to aid in the acceleration of climate mitigation efforts globally at the scale of individual facilities. The Carbon Mapper public-private partnership includes Planet Labs, Inc., the California Air Resources Board, the University of Arizona, Arizona State University, and NASA’s Jet Propulsion Laboratory (JPL).

Carbon Mapper uses advanced imaging spectroscopy remote sensing on satellites and airborne assets to detect and analyze methane and carbon dioxide emissions around the world and provide information data products to inform decision makers as well as the general public. As part of its public education and research support activities, Carbon Mapper will provide a global open data portal, including a data trust and a website offering rapid visualization and interpretation for both expert and non-expert audiences. Carbon Mapper also supports advances in science algorithms, machine learning, and big data for remote sensing through multi-source analytics, cloud computing, open-source development, and geospatial analytics.

Job Description:

Carbon Mapper is seeking a motivated and experienced Machine Learning Engineer to maintain, deploy, and test frameworks for image detection from satellite and airborne imagery for Earth Science applications. The Machine Learning Engineer will benchmark performance, integrate model and data improvements, and work with data scientists and engineers to improve and streamline automated image recognition pipelines.

Responsibilities:
  • Maintain algorithms, frameworks, and datasets in training, testing, and production environments
  • Operationalize & Integrate research-generated ML models into satellite data processing pipelines
  • Benchmark & Monitor model performance by efficacy and computational efficiency
  • Characterize populations / subregions causing degraded model performance
  • Characterize model sensitivity / interpretability via simulation
  • Work with research data scientists and engineers to release new, improved model versions

Minimum Qualifications:
  • Bachelors degree in computer science, environmental science, physical science, mathematics, geoscience, engineering, computer science or related field
  • 3-5 years experience in maintenance of operational machine learning frameworks within large data systems
  • Cloud-based deployment of machine learning algorithms
  • Knowledge of standard machine learning software packages and libraries (SKLearn / Tensorflow)
  • Strong knowledge of rigorous software DevOps practices: e.g, github, unit testing, smoke testing
  • Clear communication and ability to work within a diverse team of non-data-scientists
  • Ability to prioritize and be flexible in a fast-paced, constantly evolving, and collaborative environment
  • Deep interest, passion, and commitment to reducing climate change

Preferred Qualifications:
  • Experience with object detection and classification algorithms
  • Experience in application of machine learning to satellite remote sensing datasets
  • Exploratory Data Analysis for selection of new training samples for model improvement


Salary: $120,000-140,000 based on experience

Hours: This is a full-time salaried position as a Carbon Mapper employee (40 hours per week). You are expected to be available Monday through Thursday 9 am - 3 pm PT. The remaining time is flexible based on your assigned projects and deadlines. Some after hours and weekend work may be required to meet deadlines.

Location: Remote locations in the United States accepted. Carbon Mapper has a distributed team with both in-person and remote workers. All employees will attend quarterly all-hands meetings at the Carbon Mapper office in Pasadena, CA (1-2 days per quarter). Local employees may request an assigned desk in the Carbon Mapper office if they prefer a hybrid remote and in-person work schedule.

Benefits: Carbon Mapper offers comprehensive health/dental/vision benefits for employees and dependents, 401K retirement benefits with employer contributions, and company paid life insurance.

Carbon Mapper is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.

Application requirements: please send your resume and cover letter to careers@carbonmapper.org



About Carbon Mapper:

Carbon Mapper is a non-profit organization with a public-good mission to detect, pinpoint, quantify and track 80% of the world’s methane and carbon dioxide (CO2) point source emissions. Our mission is to aid in the acceleration of climate mitigation efforts globally at the scale of individual facilities. The Carbon Mapper public-private partnership includes Planet Labs, Inc., the California Air Resources Board, the University of Arizona, Arizona State University, and NASA’s Jet Propulsion Laboratory (JPL). Carbon Mapper uses advanced imaging spectroscopy remote sensing on satellites and airborne assets to detect and analyze methane and carbon dioxide emissions around the world and provide information data products to inform decision makers as well as the general public. As part of its public education and research support activities, Carbon Mapper will provide a global open data portal, including a data trust and a website offering rapid visualization and interpretation for both expert and non-expert audiences. Carbon Mapper also supports advances in science algorithms, machine learning, and big data for remote sensing through multi-source analytics, cloud computing, open-source development, and geospatial analytics.


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