BR-2620 BRIDGE Data & AI Engineering Graduate Intern

World Wildlife Fund•Washington, DC

1d•Remote

About The Position

WWF Overview For 60 years, WWF has worked to help people and nature thrive. As one of the world’s leading conservation organizations, WWF works in nearly 100 countries, connecting cutting-edge conservation science with the collective power of our partners in the field – nearly one million supporters in the United States and five million globally, as well as partnerships with communities, companies, and governments. At WWF, we are working to create an organization where the richness of all our unique views, experiences, and backgrounds combine to create the most sustainable and inclusive conservation outcomes possible, bringing the greatest benefit to the planet and every person who lives on it. Across the many cultures and individuals that represent WWF, we are unified by one mission, one brand, and one common set of values: Courage, Respect, Integrity and Collaboration. BRIDGE is WWF’s summer internship program. Launched in 2021, it is a paid internship opportunity aimed at a pool of talented undergraduate and graduate students who could bring fresh thinking and innovation to the environmental sector. In particular, WWF aims to employ interns who have not previously had a breadth of professional experience and have not previously considered conservation as a career pathway. Position Summary WWF seeks a BRIDGE Wildlife Detection Technology Operationalization Graduate Intern. Join the Data and AI team at WWF and contribute to a team at the forefront of conservation technology. Our team is dedicated to leveraging the power of data and artificial intelligence to address the planet's most pressing conservation challenges. We leverage a sophisticated Azure environment, providing the foundation for developing and deploying targeted data and AI solutions. These solutions support critical use cases across WWF, enabling data-driven decision- making and amplifying our conservation impact. As an intern, you will be immersed in a collaborative and innovative environment, working alongside experts in data science, engineering, and conservation. This is a unique opportunity to apply your technical skills to real-world problems and contribute to a global movement for a sustainable future.

Requirements

Pursuing a graduate program i n Machine Learning, Data Analytics, Data Science or similar . Those studying outside these areas are still highly encouraged to apply.
Must be an actively enrolled student and not received degree at time of internship start date (June 1, 202 6 ).
Identifies and aligns with WWF’s core values: Courage, Integrity, Respect, and Collaboration .
Demonstrates courage by speaking up even when it is difficult, or unpopular.
Builds trust with colleagues by acting with integrity, owning mistakes, and holding oneself accountable.
Welcomes other points of view and ideas, recognizing and embracing different and contrary perspectives with kindness, curiosity, and encouragement.
Makes conscious efforts to promote cooperative practices, behaviors, and ways of working across many groups and individuals.
Famil ia rity with cloud computing concepts.
C oding proficiency in Python or R.
Coding proficiency in SQL.
Proficiency with Machine Learning algorithms and the ability to identify and apply the optimal algorithm to solve a given problem.

Responsibilities

Researching the latest advancements in AI products and technologies, and applying this knowledge to build custom machine learning and Generative AI solutions.
Work with a diverse range of data, including both structured and unstructured datasets, to address specific conservation use cases. This could involve anything from analyzing satellite imagery to track deforestation to developing natural language processing models to understand community-based conservation reports.
Involved in the entire project lifecycle, from conceptualization and architecture design , to development implementation and impact assessment.