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MaaS模型评测高级工程师

Shenzhen, China💼 Full-time🗓 2026-09-28

Core

Build and maintain quality assurance and evaluation systems for Tencent Cloud MaaS products, focusing on model benchmarking, risk identification, and stability assurance.

Role type

Senior Machine Learning Engineer (Model Evaluation & Quality Assurance)

Builds

Model evaluation platforms, benchmark datasets, and automated evaluation pipelines for large language models.

Domain

Artificial Intelligence / Large Language Models

Deliverable

production ML models

Required skills

Python development, large model training, model evaluation methodologies, inference frameworks (sglang, vllm), benchmark data integration

Preferred skills

Prompt Engineering (PE) practice, project management experience, team leadership

Technologies

Python, sglang, vllm, SWE-bench, HumanEval, MMLU, AgentBench, kimi, deepseek, minimax, glm

Responsibilities

Establish stability assurance systems for the full product lifecycle, construct model evaluation frameworks and datasets, track industry benchmark dynamics, build automated evaluation tools and platforms.

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