OPPO · 1 day ago
Senior AI Data Engineer
Palo Alto, CA
Full-time
Onsite
Mid, Senior Level
$100K/yr - $300K/yr
3+ years expOPPO is seeking a forward-thinking AI Data Engineer to bridge the gap between user data assets and advanced AI capabilities. In this role, you will architect the user data foundation, building a robust data warehouse and integrating with third-party Large Language Models to enable intelligent, data-driven interactions.
Consumer ElectronicsMobileMobile Devices
Responsibilities
User Data Warehouse Construction & Architecture
Design, build, and maintain a scalable User Data Warehouse to consolidate data from fragmented sources
Design efficient data models to support high-performance querying and analytics
Implement ETL/ELT pipelines to ensure real-time or near-real-time data availability and quality
Data Tagging & Profile System (User 360)
Establish a comprehensive User Tagging/Labeling System (User Portrait)
Develop algorithms to generate static, behavioral, and predictive tags to accurately segment users
Ensure the tagging system is dynamic and can update in real-time to reflect the latest user interactions
LLM Integration & Data Intelligence
Lead the integration of Large Language Models with our internal data
Design and implement RAG (Retrieval-Augmented Generation) pipelines to feed structured user profile data and tags into LLMs for personalized outputs
Intelligent Interaction Development
Develop APIs and middleware that allow downstream applications to interact with data using natural language
Optimize the "Data-to-AI" loop: ensure the LLM understands the context of the user data to provide accurate, hallucination-free responses
Monitor token usage, latency, and response quality of the AI interactions
Qualification
Required
Education: Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
Experience: 3-5+ years of experience in Data Engineering or Backend Development with a focus on data
Proficiency in SQL and Python/Java/Scala
Hands-on experience with Data Warehouses (e.g. Snowflake, BigQuery, ClickHouse) and Big Data frameworks (Spark, Flink)
Familiar with message middleware (Kafka) and containerization (Docker)
Proven experience in building CDP (Customer Data Platform), DMP, or User Profile/Tagging systems
Experience interacting with LLM APIs (OpenAI, etc.) and inference optimization (vLLM)
Familiarity with frameworks like LangChain, LlamaIndex, or Haystack
Understanding of Embedding, vector databases (FAISS, Milvus), and RAG architecture
Strong problem-solving abilities and the ability to translate business needs into technical data requirements
Preferred
Experience with Prompt Engineering and optimizing context windows for efficient data feeding
Knowledge of Knowledge Graphs (Neo4j, NebulaGraph) and how to combine them with LLMs
Experience in model fine-tuning (SFT, RLHF)
Familiarity with privacy regulations (GDPR/CCPA) regarding user data and AI
Experience with mature launched projects serving a large user base on cloud platforms (AWS, etc.)
Benefits
Bonus
Long term incentives benefits
Company
OPPO
OPPO is an electronics manufacturing company that offers smart phones and IoT products.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Jace Chen
Chief Executive Officer
S
Sam Zhang
Group CEO
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