Staff Software Engineer - Machine Learning
Hivemapper is a decentralized mapping network that uses blockchain to reward contributors.
About Hivemapper
Hivemapper leverages a global community of map contributors equipped with dashcams to collect map data. This crowdsourced approach allows for frequent updates and coverage of areas often neglected by traditional mapping companies. The collected data is processed using computer vision and machine learning to generate highly detailed, accurate 3D maps that are accessible via Hivemapper's decentralized marketplace.
Skills
About the Role
You will help shape the computer vision strategy touching the full mapping stack, from hardware to data insights. You will balance state of the art techniques with practicality to produce production-grade ML solutions trained on a huge corpus of standardized data that are efficient with respect to cost and performance. You will integrate ML solutions with production systems, both at the edge and in large offline clusters.
Requirements
- 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
- PhD in Computer Vision or related field (nice to have)
- Knowledge of distributed compute systems like Hadoop/Spark (nice to have)
- Experience with a variety of different ML frameworks (PyTorch, TensorFlow, OpenVINO, ONNX, etc.) (nice to have)
Responsibilities
- Help shape the computer vision strategy touching the full mapping stack, from hardware to data insights
- Balance state of the art techniques with practicality to produce production-grade ML solutions efficient in cost and performance
- Integrate ML solutions with production systems at the edge and in large offline clusters
Benefits
- Medical, dental, and vision benefits including FSA
- Family leave
- 401(k) program
- Unlimited Flex PTO
- Paid lunch
- Commuter benefits
