Lead Algorithm Engineer – Content Recommendation & Search

BINARY TECHNOLOGY DEVELOPMENT PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Binary Technology Development Pte. Ltd. in Singapore is looking for a senior ML specialist to design and manage search and recommendation services that empower the content team and accelerate ecosystem development.

You will apply machine learning personalization, leverage data-driven strategies, and lead core content recommendation modules while collaborating with global content, business, and product teams to define success metrics and deliver measurable improvements.

Qualifications

• MSc or PhD in ML/CS/Applied Math with 5+ years of industry experience (content domain preferred).
• Hands-on with PyTorch or TensorFlow in production or research settings.
• Experience in large-scale content-related applications and systems.
• Excellent cross-team collaboration with global teams.
• Publication record at top-tier venues is a plus.

Responsibilities

• Design and manage search recommendation services and models for the content team.
• Utilize ML-based personalization methods to improve content matching and distribution.
• Drive AI product upgrades and improve content experience and business outcomes.
• Lead development of core content recommendation modules with data-driven strategies.
• Collaborate with content, business and product teams to define success metrics.

Skills

PyTorch

TensorFlow

Cross-team collaboration

Large-scale apps

Content domain experience

Education

MSc or PhD in ML/CS/Applied Mathematics

Tools

PyTorch

TensorFlow

Job description

Binary Technology Development Pte. Ltd. in Singapore is looking for a senior ML specialist to design and manage search and recommendation services that empower the content team and accelerate ecosystem development.

You will apply machine learning personalization, leverage data-driven strategies, and lead core content recommendation modules while collaborating with global content, business, and product teams to define success metrics and deliver measurable improvements.