AI/ML Engineer

📋 Description

• Design, build, evaluate, deploy, and improve machine learning systems and AI-powered applications
• Contribute to open-source AI evaluation infrastructure and tools that help nonprofit organizations
• Work closely with behavioral scientists, researchers, and field teams to identify recurring
• Develop rigorous evaluation methods for AI systems, including appropriate datasets, evaluation
• Build and iterate on production-grade LLM applications and agentic systems, improving their
• Release meaningful technical innovations from partner projects as open-source contributions

🎯 Requirements

• At least 4 years of hands-on machine learning engineering experience, including building
• At least 1–2 years of experience building LLM-powered applications, including at least one
• Practical experience evaluating AI systems, with a strong understanding of dataset design
• Proficiency in Python and a willingness to remain deeply involved in hands-on implementation.
• Fluency in prompting and context engineering for agentic systems, including the ability to
• Experience using AI coding agents to produce high-quality work, with the judgment and

🎁 Benefits

• Competitive compensation within the mission-driven technology sector, with compensation positioned
• Fully remote, asynchronous-first working environment.
• Flexible schedule with work hours accommodating your time zone, with no mandated core hours.
• Join a globally distributed team working across North America, Europe, East Africa, East Asia, and
• Build AI applications addressing practical challenges in healthcare, agriculture, and other areas
• Take projects from initial problem definition and model selection through deployment, evaluation