Open Source Internship

Machine Learning EngineerMachine Learning EngineerFull TimeRemote

Location

United States + 43 moreAll locations: United States, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, Canada

Posted

9 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This internship at Quansight 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 team.

  • Work on a challenging topic that will have significant value to the open-source community.
  • Potential projects include:
    • Working on NumPy, SciPy, Jupyter, conda-forge, stdlib.js, Polars, Narwhals, data-apis.org, and more.
    • Building a realistic performance benchmarking suite for a package.
    • Improving interoperability between two projects.
    • New feature development.
    • Creating a design system for accessible data visualization.
    • Implementing a new website design.
  • Refine skills such as:
    • Contributing to open source.
    • Pair programming.
    • Conducting effective code reviews.
    • Communication and collaboration.
    • Time management.
  • Work under the guidance of experienced mentors.
  • Network with other interns and the larger Quansight team.

Qualifications

  • Good working knowledge of Python and Git is necessary.
  • Previous experience contributing to an open-source project is helpful but optional.
  • Familiarity with design tools such as Figma or Penpot is preferred for design-related internships.

Requirements

  • Flexible start date: mid-June to mid-July.
  • Duration: 3 months.
  • Time commitment: 30-40 hrs/week.
  • English language proficiency: ability to communicate in written and oral English.
  • 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.

Benefits

  • This is a paid internship - the stipend is $1,500 per month for 40 hrs/week.
  • Competitive compensation.
  • Comprehensive sick policy and parental leave.
  • Generous amount of flexible paid time off.
  • Comprehensive benefits package for applicants located in the United States, Canada, Germany, or the UK.

Application Process

  • Submit your application by the 9th of March 2026.
  • Include your CV and a one-page cover letter detailing specific projects, motivations, and interests in open-source software.
  • If applicable, share a link to your portfolio, GitHub profile, blog, or other resources.
  • Interview process includes:
    • First interview focusing on getting to know you and your passions.
    • Technical interview without code challenges, focusing on a walkthrough of your code or relevant projects.
    • Results communicated within 2-3 weeks after interviews.

Commitment to Diversity, Equity, Inclusion, and Belonging

Quansight values diverse creative practices and forms of knowledge, encouraging applications from all equity-seeking communities. We are an equal opportunity employer and do not discriminate based on various characteristics.

Job Requirements

  • Good working knowledge of Python and Git is necessary.
  • Previous experience contributing to an open-source project is helpful but optional.
  • Familiarity with design tools such as Figma or Penpot is preferred for design-related internships.
  • Flexible start date: mid-June to mid-July.
  • Duration: 3 months.
  • Time commitment: 30-40 hrs/week.
  • English language proficiency: ability to communicate in written and oral English.
  • 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.

Benefits

  • This is a paid internship - the stipend is $1,500 per month for 40 hrs/week.
  • Competitive compensation.
  • Comprehensive sick policy and parental leave.
  • Generous amount of flexible paid time off.
  • Comprehensive benefits package for applicants located in the United States, Canada, Germany, or the UK.
  • Application Process
  • Submit your application by the 9th of March 2026.
  • Include your CV and a one-page cover letter detailing specific projects, motivations, and interests in open-source software.
  • If applicable, share a link to your portfolio, GitHub profile, blog, or other resources.
  • Interview process includes: First interview focusing on getting to know you and your passions. Technical interview without code challenges, focusing on a walkthrough of your code or relevant projects. Results communicated within 2-3 weeks after interviews.
  • First interview focusing on getting to know you and your passions.
  • Technical interview without code challenges, focusing on a walkthrough of your code or relevant projects.
  • Results communicated within 2-3 weeks after interviews.
  • Commitment to Diversity, Equity, Inclusion, and Belonging
  • Quansight values diverse creative practices and forms of knowledge, encouraging applications from all equity-seeking communities. We are an equal opportunity employer and do not discriminate based on various characteristics.

Related Job Pages

More Machine Learning Engineer Jobs

Instructor, AI/Machine Learning - NLP & Audio Analytics

Full Stack Academy

We aim to transform fresh graduates into software professionals while also helping professionals upgrade their skills.

Machine Learning Engineer9 days ago
Part TimeRemoteTeam 11-50Since 2012H1B No Sponsor

We are hiring experienced NLP & Audio Analytics Trainers to deliver live online training sessions with hands-on labs and real-world projects for working professionals. Conduct live, instructor-led online classes Deliver coding demos, assisted practices, and projects Address learn...

United States

Instructor, AI/Machine Learning – NLP & Audio Analytics

Full Stack Academy

We aim to transform fresh graduates into software professionals while also helping professionals upgrade their skills.

Machine Learning Engineer9 days ago
Part TimeRemoteTeam 11-50Since 2012H1B No Sponsor

NLP & Audio Analytics Trainer delivering live online training sessions

Python
United States
$50 - $55 / hour

Instructor, Microsoft AI Machine Learning – Part Time

Full Stack Academy

We aim to transform fresh graduates into software professionals while also helping professionals upgrade their skills.

Machine Learning Engineer9 days ago
Part TimeRemoteTeam 11-50Since 2012H1B No Sponsor

Instructor for AI and Machine Learning at Simplilearn focusing on live classes.

HadoopKerasNumpyPandasPythonPyTorchScikit-LearnSparkTensorflow
United States
$50 - $55 / hour

Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn (Part time

Full Stack Academy

We aim to transform fresh graduates into software professionals while also helping professionals upgrade their skills.

Machine Learning Engineer9 days ago
RemoteTeam 11-50Since 2012H1B No Sponsor

About: SimplilearnSimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on eme...

United States