The company is looking to build software that powers machine learning, computer vision, and 3D modeling applications, relying on mathematical concepts to analyze images and create realistic 3D models based on real-world data. This involves working with the latest research in AI, computer vision, and computer graphics, and deploying code on large-scale geospatial data to create 3D content.
Requirements
- Experience in designing and building high-performance, efficient systems using C++, with a strong focus on optimizing code for speed, scalability, and resource management.
- Familiarity with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline.
- A mathematical background covering some subset of linear algebra, probability, and geometry will also be helpful.
- Experience with Git is preferred, but a background with Mercurial or other DVCs is an acceptable substitute.
- Confidence in a Unix shell environment (e.g. bash) is essential for working in our setup.
- We use CMake for project management. However, for something other than vim/make or Xcode, we need a convincing demonstration that you will be able to self-support in the environment of your preference.
Responsibilities
- You will implement, in C++, core machine-learning/computer vision and (inverse-) procedural modeling algorithms, with varying levels of oversight. These algorithms rely on mathematical techniques from linear algebra, probability, and geometry.
- Apply cutting-edge research in machine learning, computer vision, and computer graphics.
- Utilize Git for effective source code management.
- Deploy and test your code on large scale geospatial datasets (and ultimately generate 3D content that will be available to users) This requires you to interact with remote machines via a Unix shell.
Other
- 3+ years of relevant industry experience in a fast paced, high growth tech environment.
- Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills
- Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders.
- Problem-solving skills, attention to detail and the ability to thrive in a fast-paced environment.
- remote
