The role involves shaping the CV strategy, building ML solutions in production, and integrating them with software systems, focusing on computer vision applications.
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.
Hivemapper San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Lead design and operation of a large-scale feature store and serving systems for batch and low-latency ML inference. Drive architecture, storage and retrieval patterns, observability, on-call/incident response, and reusable feature registries while mentoring engineers and ensuring performance, correctness, and cost-efficiency.
Top Skills:
C++C++11C++14C++17Cloud InfrastructureFeature RegistryFeature StoreGoJavaMicroservicesMl InfrastructureMonitoringObservabilityPlatform ArchitecturePythonReal-Time Data PipelinesWorkflow Orchestration
News + Entertainment
Lead design and execution of a modernized, Python-native AI/ML platform for AIMS: define architecture, drive migration, build migration tooling, ensure scalability, observability, cost optimization, and reliability, prototype GenAI operational tooling, and set org-wide technical standards.
Top Skills:
Batch ProcessingDistributed SystemsExperiment FrameworksFeature StoresGenaiJavaLlmsModel Serving PlatformsObservability/Monitoring SystemsPythonReal-Time ServingScalaTraining Pipelines
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, build, and optimize large-scale ML infrastructure: embedding generation, batch inference, data storage/compute, data management, quality systems, and production deployments with ML engineers to improve ranking and recommendation systems.
Top Skills:
C++Embedding SystemsFeature StoreFlinkJavaPythonPyTorchRayScalaSparkTensorFlow
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
