We are looking for the right person to work within the open-source program office on the XGBoost project. We intend to bring completely new features to XGBoost and help data scientists and projects around the world.
SOME OF THE WORK WE HOPE TO ADDRESS IS:
Taking the data while in boost phase of XGBoost, taking intermediate steps on data and returning it back to the original data set during the boost process
For more information on XGBoost, the key starting points are:
XGBoost – Wikipedia
We are looking for the right person to work on enhancements to the popular open-source XGBoost project. We’ve been adding fixes and features both large and small to the product and there’s much more work to do. We’ve been upstreaming enhancements whenever practical, so your research and development efforts have the potential to benefit data scientists and machine learning practitioners globally.
You’ll need to have strong C++, CUDA, and Python skills; deep familiarity with machine learning concepts and methods; and a strong desire to improve an already advanced product. Experience with technologies like Tensorflow, PyTorch, Arrow, Pandas and cuDF, NumPy and CuPy, Horovod, Dask, and Ray will also be helpful.
Since this work is for our open source program, all of our contributions are by definition public and open source. You get to contribute to a meaningful technology that many other companies use all while improving your own public profile.
Our open source team is a fully remote and distributed team. This allows our team the freedom to get their work done where-ever they need to be. This was true and will still be true after normal travel resumes in the world.
WHAT TO EXPECT:
- A flat team structure and a highly collaborative culture that values progress over perfection and encourages creativity, innovation and diversity
- A highly motivated global team of colleagues
- A flexible working style
- Highly competitive compensation
Deadline for applications: 06.11.2021.