Lead AI Research Scientist - ML, Optimization & Production

Maya

Manila

On-site

PHP 2,000,000 - 4,800,000

Full time

13 days ago

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Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Leadership
People management
Stakeholder management
Communication
Presentation
Interpersonal skills
Agile
Project management
Hands-on AI
Team development

Education

Master's degree
PhD
Statistics
Mathematics
Computer Science

Tools

Gurobi
CPLEX
OR-Tools
SCIP
PyTorch
TensorFlow

Job description

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.

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