位于北京市, c22的 6 个优质ai infrastructure engineer职位（正在招聘！）

Staff Algorithm Engineer
Lenovo —北京市
2 小时
Advisory Industrial Inspection Mechanical and Electrical Engineer
Lenovo —北京市
2 小时
Senior Site Reliability Engineer
Grab —北京市
快速申请
Principal Software Developer - Platform
Veeva Systems —北京市
Principal Solution Architect - Professional Services
HERE Technologies —北京市
Sr Application Engineer- Automotive MCU
Renesas Electronics —北京市
快速申请

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Staff Algorithm Engineer

Lenovo -
北京市

立即申请

职位详情

2 小时前

完整职位描述

General Information

Req #

WD00099526

Career area:

Hardware Engineering

Country/Region:

China

State:

Beijing

City:

北京（Beijing）

Date:

Tuesday, June 9, 2026

Working time:

Full-time

Additional Locations:

China - Beijing - 北京（Beijing）

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Job Responsibilities

Utilize statistical analysis, machine learning modeling, and other methods to deeply explore the business value of multi-source heterogeneous data, building predictive, decision-making, and optimization models for business scenarios.
Manage the full lifecycle of AI models, including requirement analysis, data preparation, feature engineering, model training, evaluation, deployment, and monitoring, ensuring continuous model iteration and optimization.
Design and implement model evaluation systems to continuously optimize model predictive performance, stability, interpretability, and business alignment, ensuring technical solutions closely align with business objectives.
Be responsible for the full process of data modeling, including data cleaning, feature engineering, model building, evaluation, optimization, and business implementation.
Collaborate closely with product, Development, business, and other teams to jointly promote the implementation, effectiveness evaluation, and iterative enhancement of AI solutions.
Keep abreast of cutting-edge technologies in machine learning and artificial intelligence (e.g., large language models RL, Transformers, Explainable AI) and explore their innovative applications in business scenarios.

Job Requirements

Strong proficiency in programming languages in Python/R/SQL, with familiarity in mainstream machine learning frameworks like TensorFlow/PyTorch.
Hands-on experience in the full data modeling lifecycle, understanding principles of common algorithms, and awareness of large language model technology trends.
Deep understanding of classic machine learning algorithm principles and applicable scenarios (LR, RF, XGBoost/LightGBM, SVM, K-Means, Collaborative Filtering, Neural Networks, etc.), mastery of model evaluation metrics (Accuracy, Recall, AUC, MAE, RMSE, NDCG, etc.) and optimization techniques (Cross-Validation, Grid Search, Feature Selection); familiarity with deep learning models (e.g., CNN, LSTM, Transformer) and possessing practical deep learning model experience.
Hands-on experience and provable case in supply chain models, such as demand planning, APS, logistic network and etc.
Familiarity with tools such as Hadoop/Spark/Flink, with extensive data development experience, and a deep understanding and practical expertise in data processing, data modeling, and data analysis.
Strong logical thinking and cross-team communication skills, capable of effectively coordinating technical resources to drive project implementation.
Commercial data sensitivity, able to identify business growth opportunities through data insights, with innovative awareness and implementation capability.
Bachelor’s/Master’s degree in Computer Science, AI, or a related field.
3+ years of algorithm and model development experience, modeling experience in electronic or industrial
Having led enterprise-level machine learning platform construction or core module refactoring, with experience in algorithm implementation in complex business scenarios (including performance tuning for training and inference) in a plus.
Familiarity with supply chain business is a plus

Additional Locations:

China - Beijing - 北京（Beijing）

China

China - Beijing

China - Beijing - 北京（Beijing）

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在北京市, c22的ai infrastructure engineer个职位

Staff Algorithm Engineer

Advisory Industrial Inspection Mechanical and Electrical Engineer

Senior Site Reliability Engineer

Principal Software Developer - Platform

Principal Solution Architect - Professional Services

Sr Application Engineer- Automotive MCU

Other jobs to consider

我想收到关于北京市, c22 的 ai infrastructure engineer 的最新职位提醒

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Why Work at Lenovo

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在北京市, c22的ai infrastructure engineer个职位

Advisory Industrial Inspection Mechanical and Electrical Engineer

Senior Site Reliability Engineer

Principal Software Developer - Platform

Principal Solution Architect - Professional Services

Sr Application Engineer- Automotive MCU

Other jobs to consider

我想收到关于 北京市, c22 的 ai infrastructure engineer 的最新职位提醒

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General Information

Why Work at Lenovo

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我想收到关于北京市, c22 的 ai infrastructure engineer 的最新职位提醒