Quansight Labs, Remote
Job Description
Open Source Internship Our company has its roots in the Python data science community. Our leaders have had significant involvement in the creation and maintenance of NumPy, SciPy, Jupyter, Spyder, Dask, Conda, Numba, Anaconda and PyData NumFOCUS. 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. Please keep in mind that we are describing the background we imagine would best fit the role. Even if you don’t meet all of the requirements and are confident that you are up for the task, we absolutely want to get to know you! 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 are aiming to take on around 8 interns over the July-September period, who will each work on a topic that is challenging 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, 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 have the opportunity to meet and network with other interns in the same cohort and with the larger Quansight team. Eligibility and internship details Previous experience contributing to an open-source project is useful, but certainly not required. Good working knowledge of Python and Git are necessary. Other relevant skills - e.g., continuous integration, testing, benchmarking and documentation tools, other programming languages like C, C++, Fortran, CUDA or JavaScript - may all 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. 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 English both written and orally. Can be, but does not have to be, part of a formal curriculum. This program is open to both current and non students (including career changers, returners after a break in the workforce, bootcamp alumni, self-taught developers, etc.) with any educational background. Compensation: $1000 USD/month (full-time at 40 hrs/wk) Application process Submit your application In addition to your CV, we ask that you send a one-page cover letter. This is an opportunity to detail specific projects, your motivations, and anything that is not covered in a traditional CV template. You can also talk about why you are interested in working on open-source software and what are your goals for the internship and beyond. If you have a portfolio, GitHub profile, blog or other resources, we ask that you share a link to them as well. Interview loop First interview: in the first call we want to focus on the essentials - we want to get to know you and what you are passionate about. For the main part of the interview, we’ll ask you some general questions and maybe some light technical questions, and we’ll also ask you to talk us through a project (this can be any type of project - maybe one you developed at school, during a bootcamp, as a side project, at your last internship or professional position). This project deep dive is a chance for you to tell us what excites you in your work or studies. Technical interview: Our technical interviews do not involve code challenges, meaning they don’t focus on live coding or white-boarding. In this stage, you can choose to do a walkthrough of code you wrote or some code connected to a relevant issue on an open source project. Results are communicated to candidates: we will aim to make a decision as soon as possible (within 2-3 weeks, but of course this will depend on the number of applications we receive). To make this decision, we get everyone who interviewed you together in a virtual room. We look at all the elements of your interview process and make a decision. By doing this, we not only ensure that we can make a fair decision, but that we are able to get a really measured view of which project and mentor would be the best fit for you. Not only do we want to make sure that you’re in a space where you’ll get to work on the things you enjoy doing and are passionate about, but also that you get the support and guidance you need throughout your internship. Why You Should Join You’ll become an essential part of a small, collaborative, fully distributed engineering team. We strive to provide a working environment that gives you room to learn and grow. Quansight draws from experience in many large open source communities over the years. Because these communities operate remotely and strive to be as inclusive and participatory as possible, they must also strive to be more transparent and systematic in communicating, sharing information, and working. We are building a culture at Quansight that follows these principles and builds upon them. We offer flexibility in work times and locations, and vacation time is not just encouraged but celebrated and enforced. We offer competitive compensation and a comprehensive benefits package, including medical, vision, dental, 401K, a comprehensive sick policy, and flexible paid time off for full-time salary based employees. Where applicable, if you are located outside of the United States, we will work with you to get similar benefits according to your geographical context. Where We Can Hire Our engineering team is entirely remote. We are headquartered in Austin, Texas, and the majority of our team is U.S. based. We also have a significant presence in Europe, South America, and Asia. We will consider applicants anywhere (overlap with U.S. and Europe time zones is preferred). Commitment to Diversity, Equity, Inclusion, & Belonging Quansight understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialised and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Quansight Labs will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.
Location
Remote
Minimum Experience
Previous experience contributing to an open-source project is useful, but certainly not required. Good working knowledge of Python and Git are necessary. Other relevant skills - e.g., continuous integration, testing, benchmarking and documentation tools, other programming languages like C, C++, Fortran, CUDA or JavaScript - may all be beneficial for a particular internship project but are not required to apply.
Field
Software Engineering
Deadline
May 25th, 2022
Salary Range
USD 1000 a month, for 3 months (for 40h/week)