AI Research Engineer (Recommendation Project) Full Time

Description:

• Huawei Turkey R&D Center is looking for Junior/Mid/Senior AI Research Engineers to join the team.
• The position will focus on research related to retrieval, pre-rank, and rank stages of SOTA Recommender Systems.

Responsibilities:

• Make research on retrieval, pre-rank, and rank stages of SOTA Recommender Systems.
• Design and build scalable ML services.
• Deploy ML services to production at scale considering resource constraints.
• Monitor 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 other teams to determine the requirements and formalize the possible ML research directions.

Requirements:

• A. Basic Computer Science and Programming Languages:
  • Understanding of data structures, data modeling, and software architecture.
  • 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).
• B. Machine Learning:
  • 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.
• C. Recommender System, Related NLP, and Computer Vision Fields:
  • Proven experience as a Machine Learning/AI Engineer or similar role building large-scale 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 (e.g., vector semantics, entity labeling, text classification), or Computer Vision tasks (e.g., OCR, object classification, object detection).
• D. Working Efficiency:
  • 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 files and schema.
• E. Academic:
  • Ph.D. degree in computer science, data science, or a related field.
  • Being published in reputable journals related to recommender systems such as ACL and SIGIR is a significant plus.
• Non-technical Requirements:
  • 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, and tech talks to stay up-to-date on current research and technology.