Principal Machine Learning Scientist

NEWBRIDGE ALLIANCE PTE. LTD.; Singapore; On-site; SGD 190,000 - 230,000; Full time

Benefits offered by this job

Top-tier compensation

Research culture

Impact on global users

Job summary

NEWBRIDGE ALLIANCE PTE. LTD. is seeking a Principal ML Scientist to lead core AI initiatives in recommendations, search, and agentic model development. You will architect and own the AI strategy for discovery, search relevance, and autonomous agent experiences.

You will work with Product, Engineering and Research leadership to solve ambiguous, large-scale problems and mentor junior scientists while shipping production-ready ML systems for millions of users.

Qualifications

• PhD or Masters in CS/AI with 10+ years ML experience.
• 4+ years in Principal/Staff Scientist roles with leadership.
• Proven track record shipping large-scale recommendation systems.
• Hands-on with AI agentic models and LLMs (LangGraph/AutoGen/CrewAI).

Responsibilities

• Design and scale state-of-the-art recommendation and ranking systems.
• Lead AI agentic systems, including autonomous agents and evaluation.
• Own end-to-end User Search stack from query understanding to semantic search.
• Mentor senior scientists and engineers; push research to production at scale.

Skills

Recommendation Systems

User Search

AI Agentic Model Development

LLM Agents

Python

PyTorch

TensorFlow

Spark

Transformers

RAG

Fine-tuning

RLHF / DPO

Vector Databases

Education

PhD in CS/AI or related field

Masters in CS/AI or related field

Tools

Pinecone

Weaviate

Milvus

FAISS

Spark

Python

PyTorch

TensorFlow

Job description

Our client is a leading product-led technology company building next-generation AI-powered platforms at scale, serving millions of users globally. They are heavily investing in AI, Search, and Personalization.

We are hiring aPrincipal Machine Learning Scientistto lead their core AI initiatives.

Role Overview

We are looking for a visionary Principal ML Scientist with deep expertise inRecommendation Systems, User Search, and AI Agentic Model Development. This is a high-impact, individual-contributor + tech leadership role where you will architect and own the AI strategy for discovery, search relevance, and autonomous agent experiences.

You will work directly with Product, Engineering, and Research leadership to solve ambiguous, large-scale problems.

What You Will Do

1. Recommendations & Personalization

• Design, build and scale state-of-the-art recommendation and ranking systems (candidate generation, ranking, re-ranking)
• Drive personalization strategies to improve user engagement, retention, and conversion
• Work on large-scale user behavior modeling, collaborative filtering, deep learning based recommenders

2. AI Agentic Systems

• Lead the design and development of Agentic AI models - autonomous agents capable of reasoning, planning, tool-use, and multi-step execution
• Build LLM-based agents, orchestration frameworks, memory, and evaluation systems for real-world applications
• Research and implement RAG, function calling, and agentic workflows at production scale

3. User Search & Discovery

• Own and improve the end-to-end User Search stack - query understanding, retrieval, semantic search, ranking and relevance
• Apply LLMs, embeddings, and vector search to build next-gen intelligent search experiences
• Define and track search quality metrics and drive continuous improvements

4. Leadership & Impact

• Act as a Principal Scientist and thought leader - mentor senior scientists and engineers
• Drive research to production - from prototyping to deployment on large-scale distributed systems
• Partner with stakeholders to translate business problems into ML solutions

What You Bring

• PhD / Masters in Computer Science, AI/ML, Statistics or related field. PhD preferred.
• 10+ yearsof experience in Machine Learning, with at least4+ years in a Principal / Staff Scientistrole.
• Proven track record in building and shipping large-scaleRecommendation Systems.
• Hands-on expertise inAI Agentic Model Development- LLM Agents, LangGraph / AutoGen / CrewAI or similar frameworks, planning & reasoning.
• Strong expertise inUser Search- Learning to Rank (LTR), semantic search, embeddings, vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Expert in Python, PyTorch / TensorFlow, and ML on big data stack (Spark, etc.)
• Deep knowledge of LLMs, Transformers, RAG, Fine-tuning, RLHF / DPO.
• Publications in top-tier conferences (NeurIPS, ICML, KDD, SIGIR, RecSys, WWW) is a strong plus.

Bonus Points

• Experience with multi-modal search and recommendations
• Experience building evaluation frameworks for Agentic AI
• Experience in a B2C product company at scale

Why Join?

• Principal-level ownership and influence on a product used by millions
• Opportunity to build Agentic AI from 0-to-1, not just incremental improvements
• Top-tier compensation, benefits, and research culture

Note: We are hiring at various budgets and levels depending on experience - from Staff ML Scientist to Principal ML Scientist - compensation will be aligned accordingly