Senior AI Researcher

Responsibilities

. Design, implement, and optimize decentralized AI systems prioritizing autonomy, scalability, and privacy.

. Oversee model deployment and testing in adversarial and resource-constrained environments.

. Develop and deploy solutions using advanced topology optimization, probabilistic device selection, and game-theoretic frameworks.

. Build secure platforms supporting model exchange, incentive alignment, and compliance.

. Collaborate actively on enterprise research projects, especially those involving A.STAR or similar agencies.

Requirements

. Ph.D in CS, Data Science, AI or related field from a Global Top 10 institution.

. 5+ years of applied ML/AI experience in an enterprise / multinational corporation (MNC).

. Proven record: patent writing, technical disclosures, publications in top-tier AI venues.

. Demonstrable expertise in privacy-preserving AI and federated learning.

. Hands-on experience building decentralized AI systems (autonomy, scalability, privacy).

. Strong understanding of topology optimization, probabilistic device selection, and game-theoretic techniques.

. Prior experience building platforms for model exchange, incentive alignment, and compliance.

. Proficient in model deployment/testing tools with deep experience under adversarial/resource constraints.

. Prior collaborative work with A.STAR or similar agencies, familiar with their research resources and procedures.

What We Offer

. Competitive salary, with scope for equity participation..

. Opportunity to work with pioneering AI researchers in a fast-growing field.

. High-impact work at the forefront of AI, security, and synthetic media detection.
Collaborative and inclusive team culture.