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.
Requirements
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.
