Builders in Residence

Summary

Join Mozilla.ai as a Builders in Residence and contribute to the development of open-source AI. This is a 3-month (extendable) contractor role, ideal for PhD students, recent graduates, or applied scientists seeking a short-term project. You will collaborate with a team of ML and engineering experts, focusing on areas like agent effectiveness, multi-agent system analysis, meta-learning for recommender systems, and human-AI interaction. The role involves contributing to open-source codebases, creating publishable artifacts (whitepapers, datasets), and potentially pitching your own project aligned with Mozilla's mission. Successful candidates will have a strong background in ML/AI, publications in top conferences, experience with multi-agent systems or federated learning, and strong Python development skills. Mozilla offers a remote work environment and a collaborative, purpose-driven culture.

Requirements

• Pursuing a PhD degree in ML/AI, Computer Science/Engineering, Mathematics, Statistics, or related disciplines; or equivalent experience in applied R&D
• Strong fundamentals in machine learning and AI
• Lead-author publications in top ML/AI conferences and ML-adjacent venues (e.g., ICLR, ICML, NeurIPS, AAMAS, COLM, AIES, FAccT, RLC, CHI, CSCW, ACL, EMNLP, etc)
• Experience developing or interest in multi-agent systems and/or federated learning
• Strong development skills in Python
• Experience using core machine learning frameworks such as PyTorch, JAX, HF Transformers, Gym/Gymnasium, etc
• Excellent communication, teamwork and a problem solving, results-oriented attitude

Responsibilities

• Collaborate with our team. We are a highly-technical and engineering-heavy team focused on building, and supporting, a future where open source AI is the clear choice
• Contribute to open source codebases, ensuring high-quality, interoperable, and accessible software
• Work toward other forms of publishable artifacts such as academic whitepapers and open datasets. We can cater this to your interests and your project

Preferred Qualifications

• Startup Mindset: Take ambiguous problems with creativity and rigor, prioritize tasks efficiently in a fast-paced environment, and bring solutions from ideation to validation quickly
• Open-Source: expertise using and developing open-source tools and libraries, and fostering a culture of open collaboration
• Continuous Learning: Stay up-to-date with the latest research and industry advancements in machine learning, generative AI, and open-source technologies, applying new ideas to improve projects and products
• Creativity: We’re building in a broad open space in which the greatest opportunities may not have even been identified yet
• Opinions: As you know, we’re working in a very fast-moving space, and the right answers to questions aren’t always obvious. We need to make bets, which means being informed and confident enough to know when to say yes and when to say no to ideas

Benefits

Remote work: We are a 100% remote team, distributed around the world