Hivemapper · 1 month ago
Staff Software Engineer - Machine Learning
Hivemapper is a decentralized global mapping data network built by 10s of thousands of people. The Staff Software Engineer - Machine Learning will help shape the computer vision strategy and integrate ML solutions into production systems, focusing on efficiency and performance across various applications.
GeospatialNavigation
Responsibilities
Help shape the CV strategy touching the full mapping stack, all the way from hardware to data insights
Balance the state of the art and bleeding edge with practicality; produce production-grade ML solutions trained on a huge corpus of standardized data that are efficient w.r.t cost and performance
Integrate ML solutions with our production systems; at the edge and in large offline clusters
Qualification
Required
Demonstrated expertise in building ML solutions, including training and deploying models, as well as integrating them into production software systems
Hands-on experience with Image Processing and Computer Vision: Object Detection, Classification, Tracking, Localization, 3D Reconstruction, Vector embeddings, etc
Hands-on experience with general ML and Data Mining: Clustering, Predictions, Unsupervised Methods, Ensemble Methods, Graph Optimization, etc
Hands on experience with 3D reconstruction pipelines (either monocular or stereo)
Strong programming and applied math skills (linear algebra, statistics, multivariate optimization)
Strong software engineering fundamentals
Preferred
PhD in Computer Vision or related field
Knowledge of distributed compute systems like Hadoop/Spark
Experience with a variety of different ML frameworks (PyTorch, TensorFlow, OpenVINO, ONNX, etc.)
Benefits
Medical, dental, and vision benefits including FSA
Family leave
401(k) program
Unlimited Flex PTO
Paid lunch
Commuter benefits
Company
Hivemapper
Hivemapper is a community-owned mapping network that creates unprecedented coverage, freshness, and quality.
H1B Sponsorship
Hivemapper has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (7)
2023 (2)
2022 (1)
Funding
Current Stage
Early StageTotal Funding
$21MKey Investors
Ajna CapitalMulticoin CapitalSpark Capital
2025-06-23Series Unknown
2022-04-05Series A· $18M
2015-11-05Seed· $3M
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