Founding AI Lead, Human Behavior Simulation

🔥 2 minutes ago

🇸🇬 Singapore – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Populix's careers page, not through a job board

First seen by Remote Rocketship 2 minutes ago

Logo of Populix

Populix

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $7.7M Series A on 2022-06

Consulting • Marketing • SaaS

Populix is a leading consumer insights service that connects individuals, MSMEs, start-ups, local, and multinational companies, and academics with highly targeted respondents throughout Indonesia. By offering AI-powered research tools, Populix enables faster, more accessible, and affordable market and social research. The company's offerings include customizable market research services, AI-driven online surveys, industry sentiment reports, and comprehensive marketing solutions. Trusted by numerous clients, Populix provides clear insights and analysis to support informed decision-making in today's dynamic market.

📋 Description

• Build human simulation solutions end-to-end, from ingesting survey/interview data to producing validated models that predict how people think, feel, or respond • Rapidly prototype and iterate on modeling approaches, prompting/fine-tuning strategies, and evaluation methods • Work directly with enterprise clients to scope custom use cases and translate research or business needs into working deployments • Remain hands-on through client delivery • Advance research on behavioral fidelity, bias and failure modes, evaluation methodology, and model extrapolation beyond training data • Partner with the core AI/Model team to connect custom client work with the broader platform • After validating the delivery playbook, hire, build, and lead the team scaling this work across Singapore • Initially serve as the forward-deployed lead for Populix's Singapore expansion

🎯 Requirements

• PhD (or equivalent research depth) in Machine Learning, NLP, Computer Science, Cognitive Science, or a related field • Hands-on expertise in deep learning and LLMs • Ideally, reinforcement learning expertise • Ability to rapidly build working prototypes and operate with MVP-level scrappiness in a startup environment • Deep understanding of LLM/ML inner workings and why models fail • Comfort working directly with enterprise clients and translating messy requirements into useful deployments • Strong communication skills, including explaining technical trade-offs to non-technical stakeholders and clients • Comfortable starting independently with limited structure • Genuine desire to eventually hire and lead a team • Nice to have: experience with agent-based simulation, generative/synthetic agents, or synthetic user research • Nice to have: background in psychometrics, survey methodology, or consumer/market research • Nice to have: publication record at top ML/NLP venues such as NeurIPS, ACL, ICML, or UIST • Nice to have: prior early-stage startup or forward-deployed engineering experience

🏖️ Benefits

• No specific benefits or compensation extras stated in the posting

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