Machine Learning Engineer

Engineering · Any, California
Department Engineering
Employment Type Full Time
Minimum Experience Experienced

Location: Remote; UTC+2 to UTC-8 preferred, but flexible for the right candidate

Job type: Full-time

Reports to: Director of Engineering

Availability: Immediate

Salary: Commensurate with qualifications and experience


Overview of the role


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 will participate 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 will ensure 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 improve 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.


Responsibilities


  • 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 tasks in social data science, computational social science, or computer science in coordination with the Director of Research.  Research may include: 
    • Surveying existing literature, tools, and techniques in regard to algorithms to support human fact-checking, messaging platforms, and online communication
    • 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:
    • Contributing to product feature design based on research findings
    • Supporting open scholarship by sharing code, datasets, and findings with good documentation and providing ad-hoc support to queries and/or potential partners
    • 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


Qualifications


Required


  • Demonstrated experience delivering production-grade machine learning applications
  • Experience building API-related web technologies: HTTP, REST, etc.
  • More than 5 years experience building production software on open-source platforms
  • Experience with Python
  • Solid experience with version control, preferably Git and GitHub
  • Strong command of English language
  • Strong communication skills, especially with remote, multicultural teams


Preferred


  • Working knowledge of AWS services or other cloud environments
  • Experience with ElasticSearch
  • Experience with automated testing
  • Familiarity with Docker or other containerization technologies
  • 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


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.


Our team members are 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
  • Internal EDI training and regular EDI impact and policy reviews 
  • Code of Conduct


Benefits


At Meedan, we believe that the work we do is only as strong as the wellbeing of the people who make it happen. We’re committed to providing a broad range of employee benefits that uplift the engagement and growth of our people, and to truly embody awesome in our Meedan culture.


For candidates from the US, we have the following benefits available:


  • Ten working days paid vacation in first two years of employment, and up to twenty working days paid vacation after four years of employment 
  • Twelve floating holidays to be used at employee’s discretion
  • Flexible leave for bereavement, major illness, parental responsibilities, pregnancy, military duties, civic responsibility, severe weather conditions
  • Generous health and dental benefits, including 100% employee premium coverage and 50% coverage of dependents
  • Complimentary One Medical subscription
  • 401k plan with a 50% employer match and flexible spending account
  • Up to 30 working days of paid sick leave with expansive coverage, including for menstrual pain, caretaking responsibilities, and mental health needs
  • A one calendar month paid sabbatical after five years of employment


Professional Development and Social Support


All candidates around the world have the following resources available:


  • Professional development support
  • Mentorship program plus regular learning sessions/seminars
  • Regular optional team social activities online and offline, including games, yoga, meditation and meals
  • Generous travel support for in-person meetings and retreats with colleagues, where public health guidelines allow
  • Paid subscription to meditation apps and other mental health resources
  • Complimentary access to publications like New York Times and others
  • Digital security training and support


Equity, Diversity and Inclusion Statement


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

Thank You

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  • Location
    Any, California
  • Department
    Engineering
  • Employment Type
    Full Time
  • Minimum Experience
    Experienced