4 days ago
• Contribute to our geospatial data warehouse and platform for scientists and machine learning engineers • Construct robust pipelines for the ingest of geospatial data • Implement cutting edge pre-processing algorithms for sensor data to produce quality features for ML • Contribute to tools and infrastructure to increase iteration time and improve developer experience • Contribute to infrastructure to accelerate research and experimentation • Develop plans for cross-team initiatives related to infrastructure and deliver on them
• You've built scalable and fault-tolerant distributed systems that process large amounts of data • You've worked with ML models in production systems • Experience working in cluster environments and an understanding of the related distributed systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks, pipelining/multiprocessing, etc) • Experience with algorithms and data structures, domain-driven design, and software engineering fundamentals. • Experience working with terrestrial ecosystem geospatial data such as land cover, ecosystem classifications, and biophysical data • You're comfortable with fast-paced execution and rapid iteration startup environment • You're excited by product impact • Interdisciplinary collaboration and deep user empathy
Apply Now4 days ago
51 - 200
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Senior Engineer for Machine Learning & Computer Vision in dental technology.
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🟡 Mid-level
đźź Senior
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