AI Research Engineer - Recommendation Project

February 8

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Huawei

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Huawei is a global technology company that provides a wide range of products, solutions, and services in the telecommunications industry. It offers consumer products such as smartphones, tablets, and wearables, and enterprise solutions including networking and cloud services. Huawei serves carrier networks with products and solutions, and also provides digital power solutions. The company operates across several regions worldwide, making significant contributions in advancing technology infrastructure and digital transformation.

Information and Communications Technology ICT • Enterprise Solutions • Consumer Devices • Carrier Network

10,000+ employees

Founded 1987

📡 Telecommunications

🔧 Hardware

☁️ SaaS

💰 Seed Round on 2013-01

📋 Description

• As Huawei Turkey R&D Center, we are now looking for Junior/Mid/Senior AI Research Engineers to join our team • Make research on retrieval, pre-rank, and rank stages of SOTA Recommenders Systems • Design and build scalable ML services • Deploy ML services to production at scale considering resource constraints • Monitoring models to evaluate and improve services online • Play an active role in suggesting, collecting, and preprocessing the data necessary to train the ML models and evaluate performance • Consult with the other teams to determine the requirements and formalize the possible ML research directions

🎯 Requirements

• Understanding of data structures, data modeling, and software architecture • Having expertise in object-oriented programming • Ability to write reusable and easily-maintainable code using beautiful and proper design patterns • Ability to write robust and optimized code in Python • Strong programming skills (Python, SQL, etc.) and experience with deep learning frameworks (e.g. TensorFlow, PyTorch, Keras) • Familiar with development processes (CI/CD, DevOps, MLOps) • Solid understanding of Neural Networks in theory such as convex optimization, hessian approximations, conjugate gradient, and Gauss-Newton steps • Familiarity with modern machine learning frameworks • Proven experience as a Machine Learning/AI Engineer or similar role building largescale recommender systems to solve real live-stream problems • Practical experience in deploying and optimizing ML models in production • Experience in one of the fields: Deep Learning-based recommender models, NLP tasks (vector semantics such as TF-IDF or neural word embeds, entity labeling, text classification, etc.), Computer Vision tasks (such as Optical Character Recognition, Object Classification, Object detection, etc.) • Fully-easy working capability in version control systems such as Gitlab or Github • Experience in Docker for building a simulation of the production environment • Solid understanding of JSON file, and schema • Ph.D. degree in computer science, data science, or a related field • Being published in Articles and Proceedings in reputable journals related to recommenders systems such as ACL and SIGIR is a significant plus • Fluent in English, both written and spoken • Ability to work in a multi-disciplinary and multi-cultural team

🏖️ Benefits

• Competitive salary • Discount at MSc/Ph.D. programs from several top universities • Employee Gift Packs for special events • Online training platforms • External certification support • A culture of continuous development: conferences, in-house events & Tech Talks to stay up-to-date on current research and technology.