About the role
Quansight has its roots in the Python data science community. Our founders have had significant involvement in creating and maintaining NumPy, SciPy, Jupyter, Spyder, Dask, Conda, Numba, and other projects, as well as PyData NumFOCUS, and Anaconda. Our mission is to connect companies to open-source communities to create sustainable solutions that benefit the whole ecosystem.
We accomplish this mission by providing various services ranging from open-source software development to training and consulting. We believe in a culture of do-ers, learners, and collaborators. We are looking for people who are motivated, humble, curious, and respectful of others.
Quansight is invested in supporting the open-source PyData ecosystem. An internship at Quansight Labs is an opportunity to contribute to a PyData open source project, with dedicated mentorship from a project maintainer or contributor and interacting with the whole Quansight Labs team.
We aim to take on around 8 interns over the July-September period, who will each work on a challenging topic and, if successful, will have significant value to the open-source community.
Potential projects include working on NumPy, SciPy, scikit-learn, Jupyter, conda-forge, data-apis.org, and more. They range from building a realistic performance benchmarking suite for a package to improving interoperability between two projects, new feature development, creating a design system for accessible data visualization, and implementing a new website design - see https://labs.quansight.org/ for more about the types of things we do in Labs.
During the internship, you’ll get to refine skills such as:
Contributing to open source
Pair programming
Conducting effective code reviews
Communication and collaboration
Time management
Interns will be working under the guidance of experienced mentors, who will guide and help review each project. They will also be able to meet and network with other interns in the same cohort and the larger Quansight team.
Eligibility and internship details
Previous experience contributing to an open-source project is helpful but certainly optional. Good working knowledge of Python and Git is necessary*. Other relevant skills - e.g., continuous integration, testing, benchmarking and documentation tools, and other programming languages like C, C++, Fortran, CUDA or JavaScript - may be beneficial for a particular internship project but are not required to apply.
We are also actively working on the technical writing, design, and accessibility spaces and welcome applications from folks interested in these areas (*Note that for applicants interested in areas such as design, Python and Git are not required, but instead, we’d like to see familiarity with design tools such as Figma or Penpot).
Start date: flexible, mid-June to mid-July
Duration: 2.5 - 3 months
Time commitment: flexible, you should be able to commit between 25-40 hrs/wk
English language: we are a remote international company and we communicate in English. You do not need to be a proficient English speaker to apply, but should be able to communicate in written and oral English.
Can be, but does not have to be, part of a formal curriculum. This program is open to current and non-students (including career changers, returners after a break in the workforce, boot camp alumni, self-taught developers/designers, etc.) with any educational background.
This is a paid internship.
About the company
Quansight has its roots in the Python data science community. Our founders have had significant involvement in creating and maintaining NumPy, SciPy, Jupyter, Spyder, Dask, Conda, Numba, and other projects, as well as PyData NumFOCUS, and Anaconda. Our mission is to connect companies to open-source communities to create sustainable solutions that benefit the whole ecosystem.
