Machine Learning Engineer
  • Location: Remote; Brazil and Americas time zones preferred, but flexible for the right candidate
  • Job type: Full-time
  • Reports to: Director of Engineering
  • Availability: Immediate

Meedan is seeking a Machine Learning Engineer to play a key role in our global engineering team. We build Check, a web platform for collaborative media annotation and claim-checking used by some of the world’s leading fact-checking and media organizations, such as India Today, Rappler, BOOM, Africa Check, Agencia Lupa and others. This includes handling thousands of fact-check submissions every month in multiple languages from a variety of countries. The architecture is composed of microservices which talk to each other through their APIs. One of those APIs exposes machine learning features related to image and text analysis used by the Check product. These include text similarity, image similarity, and classification.

The machine learning engineer participates in building and maintaining these services, connecting research, implementation and product, and bringing their experience and knowledge to produce high-quality, production-level code contributions and enrich the team’s collective assets and expertise. Their problem-solving skills, attention to detail, ability to learn fast, sense of initiative and positive attitude ensures a long and rewarding tenure in a similarly-minded group. The engineer will be supported by Meedan’s research team and the DevOps team.

As part of Meedan you will have the opportunity to help fix the global misinformation ecosystem for global and local audiences. This is an ideal position for someone wanting to grow with a dynamic and diverse technology organization focused on solving hard information distribution problems. We encourage diverse applicants from underrepresented communities.


  • Maintain and enhance existing services, implementing readable, automated-tested and documented code
  • Participate in architectural planning, especially related to data model and frontend-backend communication, in close coordination with the team and Director of Engineering
  • Develop and undertake state-of-the-art research in social data science, computational social science, or computer science in coordination with the Director of Research. Research may include: (1) surveying existing literature, tools, and techniques in regard to algorithms to support human fact-checking, messaging platforms, agenda setting, and online communication and (2) leading quantitative analysis of large social-media datasets, including WhatsApp 3PFC data, WhatsApp public groups, traditional media, open data and other similar datasets
  • Writing, publication, and dissemination of results in articles, blog posts, and project reports aimed at both academic and non-academic audiences, including: (1) contributing to product feature design based on research findings and (2) supporting open scholarship by sharing code, datasets, and findings with good documentation and providing ad-hoc support to queries and/or potential partners, (3) participating actively in the intellectual life of Meedan sharing findings and developing research questions with Meedan’s program, product, design, and software development teams
  • Follow development practices, including ticketing workflows, coding and testing guidelines
  • Communicate requirements to make you the most effective member of the team possible



  • Experience building API-related web technologies: HTTP, REST, etc.
  • More than 5 years experience building production software on open-source platforms
  • Experience with Python
  • Experience with ElasticSearch
  • Experience with automated testing
  • Solid experience with version control, preferably Git and GitHub
  • Familiarity with Docker or other containerization technologies
  • Demonstrated experience delivering production-grade machine learning applications
  • Demonstrated experience in empirical data analysis using a suitable scripting language
  • Strong command of English language
  • Strong communication skills, especially with remote, multicultural teams


  • Working knowledge of AWS services or other cloud environments
  • Ability to travel for 1-2 months per year for in-person team meetings (when it is safe to do so from a public health perspective)
  • Natural language processing (especially experience fine-tuning and using BERT-based models)
  • Image, video and/or audio processing (e.g., perceptual hashes, audio fingerprints)
  • Computer vision experience and/or multimodal applications involving text and image data
  • Academic research experience and/or publications are a plus but not required

About Meedan

Meedan is a global technology not-for-profit that builds software and programmatic initiatives to strengthen journalism, digital literacy, and accessibility of information online and off. We have an affiliated for-profit, Meedan Labs, which works with our for-profit clients. We develop open-source tools for creating and sharing context on digital media through annotation, verification, archival, and translation. We work with technologists, newsrooms, fact-checkers, public health professionals, NGOs and academic institutions on award-winning projects from election monitoring to pandemic response to human rights documentation. This work supports our vision of a more equitable internet.

Equity, Diversity and Inclusion Statement

We are headquartered in San Francisco’s SOMA district with team members distributed through multiple cities and time zones. Our team members are able to work flexibly and respond to challenges across a range of project areas. This includes the following:

  • Flexible work from home
  • Flexible schedule
  • Support for home office
  • Health benefits for U.S. employees and health care stipends for non-U.S. team members
  • Internal EDI training and affinity groups
  • Code of Conduct

We encourage individuals from historically underrepresented communities in technology and journalism to apply, including women, people of color, veterans, people with disabilities and those who identify as LGBTQ.

Please send CV, cover letter, and either a research paper or link to a GitHub repository demonstrating some of your work to by August 31, 2021.

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