AI Research Engineer (PhD)

As Huawei Turkey R&D Center, we are now looking for a Senior AI Research Engineer who has a PhD degree to join our team.

Key areas of responsibility will be:

• Make a research on SOTA AI Domains (Computer Vision, NLP, Recommendation Systems, ASR, TTS)
• 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.

Essential technical requirements:

A. Basic computer science and programming languages

• 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)

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.
• Experience in multi-modal pre-training large models is preferred.
• Familiar with technologies such as small sample learning, zero sample learning, and promt learning is preferred.

C. Proven Experience in One of The Following

• 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,
• Deep Learning-based recommender models,
• NLP tasks (large-scale language models, open domain chat, knowledge question & answering),
• Computer Vision tasks (such as Optical Character Recognition, Object Classification, Object detection, etc.),
• Speech Processing (such as ASR, TTS, speaker-identification, anti-spoofing)

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 file, schema.

E. Academic

• PhD 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 an important plus.
• Academic publications in reputable conferences related to NLP applications, such as ACL, NeurlIPS, ICLR, ICASSP, etc., is an important plus.

OR

Essential non-technical requirements:

• Fluent in English, both written and spoken,
• Ability to work in a multi-disciplinary and multi-cultural team.