Hivemapper is a decentralized global mapping data network built by 10s of thousands of people. At any given time, many 1000s of dashcams are collecting high-quality sensor data somewhere in the world and performing various computations at the edge, including state of the art computer vision tasks. 1000s of other contributors participate as AI Trainers, annotating and confirming the output of ML models. 2024 will see us 10x the number of contributors to the network.
High-resolution imagery, GNSS, IMU, and other data, are then promptly uploaded for further processing and analysis (sensor fusion, 3D reconstruction, ML, human-in-the-loop annotation, etc.). Today, different data API products allow transparent and programmatic access for anyone to consume high-resolution imagery and sensor data, precisely extracted Map Features (speed signs, turn restrictions, highway signs, etc.). New data products for traffic, construction detection and more will become available later this year.
Enterprise tech, mapping companies, robotaxis, rideshares, and real estate analysts represent just a few of the customers consuming data today. Our work is fast-paced, collaborative, and data-driven. We focus on solving hard problems, and we invest in our rapidly growing team and the tech to do so.
Computer Vision @ Hivemapper
We work on a variety of computer vision problems at the edge as well as in large compute clusters. These span object detection and stereo depth mapping to feature detection and matching, 3D reconstruction, image classification, OCR, and other general sensor fusion techniques.
We solve the problem of distilling large volumes of standardized signals into highly accurate and precise insights.
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
Qualifications
- 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
Nice to haves
- 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.)
What we offer
- Medical, dental, and vision benefits including FSA
- Family leave
- 401(k) program
- Unlimited Flex PTO
- Paid lunch
- Commuter benefits
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Hivemapper, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note to Recruitment Agencies: Hivemapper does not accept unsolicited agency resumes. Furthermore, Hivemapper does not pay placement fees for candidates submitted by any agency other than its approved partners.
