Senior Machine Learning Engineer

100 Remote Staff Machine Learning Engineer opening with needed for leading and evolving Satellite, Spacecraft, and Geoscientific Intelligence company. This Jobot Job is hosted by Patrick Murray Are you a fit? Easy Apply now by clicking the “Apply Now” button and sending us your resume. Salary 170,000 – 190,000 per year A bit about us Based in the Great State of Washington, we are a geoscientific intelligence information powerhouse with an AIML platform that gives our clients and customers the power to harness data from space, sensors, mobile equipment, and electronics in order to deliver on their operations. We have a 150+ employees nation wide and are growing leaps and bounds this year as well! Our customers rely on us because they need to be the first to know. We need you in order to be that first! This is why we are urgently hiring for a Senior Data Scientist Senior Machine Learning Engineer. The full-time position will be able to be fully REMOTE as well. If you feel like you could be a fit for your Senior ML Engineer, please feel free to apply directly! Why join us? We connect the vast frontier of Space and the world of Data. The technologies we create always have an impact on the real world and help to create better one. We help bridge the gap prediction, AI, data and change! By working here, we will give you the chance to impact industries, change how businesses operate, and possibly alter the course of history itself. As the (WFH) Senior Machine Learning Scientist Engineer, we offer Competitive Base Salary – 170,000 to 190,000 (DOE) Extremely Competitive Benefits Package 100 Medical Coverage 100 Work From Home Commuter Benefits Employer paid Long-Term Short-Term Disability 401(k) Employer Match at 50 up to 6 of your deferrals Pre-tax and Roth after-tax 401(k) deferral options Stock Ownership for full-time positions 100 per month employer contribution to help pay for your out-of-pocket medical expenses, whether or not you enroll in our medical coverage Flexible Spending Accounts (FSA) for healthcare, dependent care, or commuter costs Employee Referral Bonuses – Earn between 1,000-4,000 when you refer a new employee to us Flexible Work Schedules (REMOTE options) Accelerated Career Growth Excellent PTO and Holiday Time Full-Time Position, StableGrowing Company Modern Environment State of the Art Technology Job Details Responsibilities Design and implement computer vision solutions that exploit machine learning, statistical learning, and deep learning for next-generation satellite imagery analytics Plan and conduct research in projects related to computer vision, probabilistic modeling, predictive analytics, and content curation Develop and prototype algorithms, models, and analytical tools for solving domain specific business problems Take part in the entire project lifecycle from requirements development to deployment Collaborate with management and technical team on product strategy Qualifications 5+ years of hands-on experience as a machine learning or computer vision engineer, or data scientist with at least 3 years focused on remote sensing Bachelor’sMaster’s Degree or higher in one of the following fields computer science, mathematics, physics, statistics, or another computational field Hands on experience working with large imagery datasets including image normalization, image augmentation, rastervector visualization, etc. Familiarity with open-source python remote sensing libraries such as Rasterio, Shapely, GeoPandas, etc. Familiarity with open-source python computer vision libraries such as Tensorflow, Keras, PyTorch, OpenCV, Scikit-Image, etc. Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights ship Required Desired Skills 6+ years of hands-on experience as a machine learning or computer vision software engineer Experience working with geospatial software stacks (Rasterio, GeoPandas, Shapely, Dask, GDAL, etc.). Experience with remote sensing datasets and image preprocessing and manipulation methods for sensors such as Sentinel, LandSat, WorldView Experience with MLOps (scaling and deploying models in the cloud using AWS solutions such as Kubernetes, KubeFlow, EC2, S3, Batch). Experience researching and prototyping using deep learning-based computer vision methods in PyTorch PyTorch Lightning. Interested in hearing more? Easy Apply now by clicking the “Apply Now” button.