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AI Backend Engineer: Low-Latency Inference Architect
Design and maintain the low-latency inference layer that powers AI features, turning models into fast, reliable APIs for clients using Python, Kubernetes, and LLMs.
Staff Backend Engineer, Cloud AI Infrastructure
Builds and scales the backend services for a high-performance generative AI platform, optimizing compute, storage, and networking for enterprise-grade ML workloads.
Backend Engineer - Model Training Infra (Singapore) Technology - Backend Singapore Regular
Build and scale the ML infrastructure powering ByteDance’s global ad, search, and e-commerce ranking systems using C/C++, CUDA, Python, and frameworks like TensorFlow/PyTorch.
AI Backend Engineer
Build and run backend systems that power AI features, focusing on inference pipelines, orchestration, and low-latency APIs for Tommy Hilfiger/Calvin Klein.
AI Backend Engineer (Agent Systems)
Builds and maintains backend infrastructure for an AI-native assistant that integrates AI into conversations, focusing on inference pipelines, orchestration, and scalable APIs for reliable AI workflows.
Data Scientist - Computer Vision & AI
Build and deploy deep learning models for computer vision, voice, and text processing to power GoTo Financial’s KYC and AI systems in production.
Backend Engineer - Application Computing (Data + AI)
Build and maintain large-scale offline computing systems for TikTok’s recommendation architecture, using Flink, Spark, and AI stacks like PyTorch to power feeds for over 1 billion users.
Data Engineer (AI/ML) Contract
Design and deploy AI/ML systems (Generative AI, NLP, vision, recommendations) end-to-end on cloud infrastructure, mentoring junior engineers and leading cross-functional projects.
Senior Data Scientist & AI Engineer
Build and deploy AI models on AWS, collaborating with teams to integrate data-driven solutions and solve complex business problems using deep learning and MLOps.
Backend Engineer, AI
Backend Engineer building scalable Python/Node.js services that integrate PyTorch and LLMs to power AI-driven applications and APIs.
Machine Learning Engineer | Robotics and AI
Design and deploy ML models for robotic mobility and dexterity using PyTorch, moving algorithms from simulation to real-world hardware with cross-disciplinary teams.
Senior Software Engineer
Builds and owns large-scale data products handling petabytes of data, distributed systems, and ML pipelines to power advertising analytics and decision-making.
Backend Engineer - Multi-Modal Content & Recommendations
Design and improve TikTok’s multi-modal content understanding pipeline for recommendations, ensuring high availability and scalable vector processing.
Lead AI Engineer – AI & Data (Banking Industry)
Lead AI initiatives for banking clients, designing GenAI chatbots and automation workflows using Microsoft AI tools and LLMs, while mentoring teams and aligning AI projects with business goals.
Senior Data Scientist / Machine Learning Engineer
Build and deploy ML models in Python/TensorFlow/PyTorch to analyze large datasets, generate insights, and power real-time decisions for a Singapore-based AI product team.
Data Scientist - AI,ML
Build and deploy AI/ML models (time-series, CV, NLP) to solve business problems, lead end-to-end ML projects, and collaborate with engineers to ship models to production.
Backend Engineer - AML Framework Development (Search, Ads, and Recommendation Direction) Singap[...]
Develops and optimizes a Python-based machine learning framework for search, ads, and recommendation systems using TensorFlow/PyTorch.
Backend Engineer Intern (ByteRec Recommendation Infrastructure) - 2026 Start (BS/MS)
Backend engineering intern building scalable recommendation infrastructure using multi-modal content processing, vector retrieval, and RAG systems in Python/C++.
Data Engineer Neo4J
Design and implement Neo4j graph models for banking data, apply graph algorithms to detect fraud, and build real-time investigation dashboards for AML teams.
Inference Systems Backend Engineer - ARK Large Model Platform (Singapore)
Build and optimize large-scale distributed inference systems for LLMs on VolcanoEngine, tuning GPU clusters and scheduling traffic to handle hundreds of billions of tokens daily.