AI/ML Engineer

Job not on LinkedIn

🔥 0 minutes ago

⛩ Asia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Agency Fund

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤝 Non-profit

🌍 Social Impact

Non-profit • Social Impact

The Agency Fund is a philanthropic fund and initiative that conducts and supports research, development, and scaling of programs focused on human agency, social mobility, and development. It partners with nonprofits, policy organizations, academics, and industry to discover evidence-based interventions, accelerate organizations building agency-focused tools (including AI-enabled coaching), and mobilize funding and public knowledge for systemic impact. The fund prioritizes cost-effective pathways to reach large populations and influence policy, emphasizing data, evaluation, and scalable program design.

📋 Description

• Design, build, evaluate, deploy, and improve AI/ML systems for Agency Fund platforms and partner applications • Contribute to Calibrate, an open-source AI evaluation infrastructure for nonprofits • Work with behavioral scientists and researchers to identify problems and translate solutions into reusable tools, playbooks, frameworks, and publications • Open-source non-trivial innovations from in-kind work • Implement rapid development and deployment cycles • Document technical decisions and maintain engineering standards across AI components • Track applied AI research and bring relevant advances to the team • Advise and support NGOs building generative AI products • Mentor NGO staff in industry best practices, culture, and tooling • Help organize workshops and seminars sharing lessons, best practices, and tools • Conduct site visits to observe NGO operations and draft technical recommendations • Collaborate with partner nonprofits across East Africa, South Asia, and beyond

🎯 Requirements

• Strong foundation in math, deep learning, LLMs, and modern AI systems • 4+ years of hands-on ML engineering experience building, evaluating, and systematically improving at least one end-user-facing deep-learning product beyond model API integration, internal dashboards, or ML infrastructure • 1–2 years of experience building LLM-powered applications • At least one production-grade agent beyond proof-of-concept demonstrations • Hands-on experience evaluating AI systems, including dataset and evaluation design • Fluency with prompting and context engineering for agentic systems • Very comfortable programming in Python • Comfortable using coding agents and accountable for shipped work • Comfortable reading research papers and testing relevant ideas • Experimental mindset and ability to reason about data, models, and evaluation together • Ability to think from first principles and design practical, scalable solutions • Strong written and verbal communication skills • Ability to communicate technical concepts clearly to non-engineering audiences • Commitment to building AI responsibly and for direct social benefit • Candidates must be based in or willing to relocate to Sub-Saharan Africa or South Asia • Bonus: multilingual NLP or low-resource language experience; global health, international development, or social impact technology experience; behavioral science or behavior-change AI; LLM data annotation and evaluation methodology; AI safety, alignment, or responsible AI; AWS, GCP, or Azure; production model deployment; top AI conference publications or substantial technical writing

🏖️ Benefits

• Fully remote work from wherever you are • Flexible hours fitting your timezone • Async-first work model • Minimal hierarchy and short feedback loops • Work alongside behavioral scientists, development economists, field researchers, and embedded engineers • Open-source culture with opportunities to publish work • International contractor engagement