AI Scientist - Content & Growth (Junior)

DUOTECH PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A technology company in Singapore is seeking a talented individual to join their Content & Growth AI Team. The role involves shaping content discovery, optimizing recommendation algorithms, and building intelligent growth pipelines. Candidates should possess at least 2 years of experience in recommendation systems and machine learning, alongside strong problem-solving abilities. Proficiency in both English and Chinese is required for effective collaboration with stakeholders.

Qualifications

• 2+ years of experience in recommendation systems, content AI, or growth-focused machine learning.
• Hands-on experience with hot topic mining and entity co-occurrence graph modeling.
• Strong problem-solving and communication skills.

Responsibilities

• Design and optimize large-scale recommendation algorithms.
• Build intelligent content growth pipelines including real-time hot topic detection.
• Collaborate with product, data, and infrastructure teams to define content growth strategies.

Skills

Recommendation systems

Machine learning

Problem-solving

Cross-functional collaboration

Bilingual (Chinese and English)

Tools

TensorFlow

PyTorch

Spark

FAISS

Job description

As part of the Content & Growth AI Team, you’ll play a central role in shaping content discovery, driving user engagement, and unlocking the next wave of platform growth. From personalized feeds and real-time hot topic detection to AI-generated content (AIGC) strategies, we combine algorithmic excellence with product intuition to amplify impact.

You’ll join a world-class team of engineers and researchers focused on building scalable, high-performance AI systems that power content recommendations, trending detection, and multimodal user engagement.

What You’ll Do

• Design and optimize large-scale recommendation algorithms to enhance personalized user experiences across feeds, content hubs, and interactive touchpoints.
• Build intelligent content growth pipelines, including real-time hot topic detection, viral content diffusion modeling, and trending topic amplification.
• Develop and integrate AIGC-aware recommendation systems, enabling dynamic ranking and generation strategies based on user preferences and market signals.
• Apply state-of-the-art retrieval, ranking, and re-ranking models to refine recommendation precision, diversity, and freshness.
• Leverage sequence models (Transformers, RNNs) and graph-based methods to model user behavior over time and across content types.
• Employ multi-modal learning (text, image, video, social graphs) to improve understanding of content and boost personalization effectiveness.
• Collaborate cross-functionally with product, data, and infrastructure teams to define and drive content growth strategies aligned with business objectives.
• Run large-scale A/B tests, perform causal inference and behavioral analytics to quantify impact, guide iteration, and scale success.
• Contribute to system architecture, model deployment pipelines, and performance optimization for real-time inference at scale.
• Stay at the frontier of recommendation, generative AI, and content intelligence research, translating innovation into production impact.

Qualifications

• 2+ years of experience in recommendation systems, content AI, or growth-focused machine learning.
• Proven track record in developing large-scale personalized recommendation engines using deep learning, collaborative filtering, or hybrid models.
• Hands‑on experience with hot topic mining, entity co‑occurrence graph modeling, or event‑based content surfacing is a strong plus.
• Solid understanding of retrieval‑ranking architectures, cold‑start mitigation, and user lifecycle‑based personalization.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch), vector search (e.g., FAISS, Milvus), and knowledge‑enhanced models.
• Proficiency in big data processing (Spark, Hive, Hadoop) and distributed computing frameworks.
• Strong problem‑solving and communication skills; ability to drive cross‑functional collaborations.
• Passion for content ecosystems, user growth loops, and delivering measurable impact through intelligent systems.
• Able to use Chinese and English as working language to work with Chinese speaking stakeholders.