Lead AI Research Scientist - ML, Optimization & Production

Maya; Manila; Vor Ort; PHP 2.000.000 - 4.800.000; Vollzeit

Zusammenfassung

Maya is hiring a senior AI research leader in Manila to drive applied AI across lending, fraud, and operations. You will lead a team of researchers, translate business problems into production-ready AI, and collaborate with Product and Engineering to deploy scalable models.

The role requires advanced degrees in quantitative fields, a proven track record in AI research, and strong publication or conference contributions.

Qualifikationen

• Master's or PhD in a quantitative field (Statistics/Math/CS).
• Experience leading and managing Data Science teams.
• Proven track record delivering AI/Data Science solutions in fast-paced environments.
• Publications or research contributions are a plus.

Aufgaben

• Lead applied AI research across Maya's AI initiatives.
• Translate business problems into production-ready AI solutions.
• Design, prototype, validate, and deploy scalable models.
• Drive adoption of emerging AI technologies (e.g., causal AI).
• Partner with Product, Engineering, and Business to productionize research.
• Lead and grow a high-performing AI research team with mentorship.
• Define and execute research roadmaps aligned with Maya's AI strategy.
• Represent Maya in AI community via publications and conferences.
• Drive improvements in lending, fraud, marketing, and operations through AI.

Kenntnisse

Leadership

People management

Stakeholder management

Communication

Presentation

Interpersonal skills

Agile

Project management

Hands-on AI

Team development

Ausbildung

Master's degree

PhD

Statistics

Mathematics

Computer Science

Tools

Gurobi

CPLEX

OR-Tools

SCIP

PyTorch

TensorFlow

Jobbeschreibung

Maya is hiring a senior AI research leader in Manila to drive applied AI across lending, fraud, and operations. You will lead a team of researchers, translate business problems into production-ready AI, and collaborate with Product and Engineering to deploy scalable models.

The role requires advanced degrees in quantitative fields, a proven track record in AI research, and strong publication or conference contributions.