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Big Data Engineer Graduate (TikTok Recommendation Architecture) - 2027 Start
Build and optimize large-scale recommendation system architectures using big data tools like Spark and Flink to process and analyze user data for TikTok’s AI-driven content feeds.
AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Build and deploy AI-powered applications using LLMs, vector databases, and agentic AI frameworks like LangChain or Microsoft Copilot Studio for enterprise solutions.
AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Build and deploy enterprise AI solutions using LLMs, AI agents, and Microsoft Copilot tools to automate workflows and enhance productivity.
AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Applied Machine Learning/AI Software Engineer
Build and deploy AI-powered software solutions, integrating ML models (PyTorch/TensorFlow) with full-stack development in Python and cloud platforms like Azure.
Big Data Engineer - ML Infra for Scalable E-commerce
Designs offline data architectures and scalable storage/compute infrastructure for large-scale recommendation systems using Java and C++ in a fast-moving, globally distributed team.
Backend ML Engineer: Scalable AI Platform & Ops
Build and scale distributed ML systems for global recommendation engines, focusing on performance, capacity planning, and operational excellence.
Senior Data Engineer
Designs and maintains cloud-based data pipelines and warehouses, builds data models, and partners with ML teams to enable real-time analytics and personalization using tools like BigQuery, dbt, and Airflow.
Big Data Engineer Graduate (Application Computing, Data + AI) - 2026 Start (BS/MS)
Builds scalable distributed systems and AI training frameworks for ByteDance’s billion-user recommendation engines using Java/C++/Scala/Python and tools like Spark, Flink, and Ray.
Data Engineer (AI/ML) Contract
Design and deploy AI/ML systems (Generative AI, NLP, vision, recommendations) using Python, TensorFlow/PyTorch, and cloud tools to solve business problems at scale.
Head of Data Engineering
Lead the design and scaling of data infrastructure for a media business, including data lakes, CDPs, and AI-powered analytics products that support editorial, subscriptions, and advertising teams.
Backend Engineer Graduate (TikTok Global E-commerce Recommendation Architecture) - 2026 Start ([...]
Build and optimize scalable backend systems for TikTok Shop’s recommendation infrastructure, including data pipelines and high-performance services to power AI-driven product suggestions.
Backend Engineer Graduate (TikTok Recommendation Architecture) - 2026 Start (BS/MS)
Build and optimize TikTok’s recommendation architecture, focusing on distributed systems, performance, and scalability to enhance user experience and system stability.
Backend Engineer Graduate (Live Recommendation Architecture) - 2026 Start (BS/MS)
Build and optimize high-performance recommendation systems for live broadcasts, including scalable services, data pipelines, and storage frameworks to support real-time ML algorithms.
Junior Backend Engineer — AI-Driven Recs Platform
Builds and optimizes AI-driven recommendation systems using C/C++ and Python to improve user experience.
Big Data Engineer - Data analytics Expert
Builds and optimizes Huawei’s big-data stack, ETL pipelines, and search/recommendation systems using Spark, Hive, Hadoop, and Python/Java/Scala.
Backend Engineer Intern (TikTok Recommendation Architecture) - 2026 Start (BS/MS)
Intern on TikTok’s Recommendation Architecture team, designing scalable systems and optimizing large-scale recommendation infrastructure using C/C++/Java/Golang.
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.
Big Data Engineer, Recommendation Architecture
Designs offline data architectures for TikTok’s large-scale recommendation systems, building scalable storage and computing systems while applying data mining and NLP to extract insights from big datasets.