AI Research Engineer (Fresh Graduate Application)

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.

We have more than 194,000 employees, and we operate in more than 170 countries and regions, serving more than three billion people around the world.

Our vision and mission are to bring digital to every person, home, and organization for a fully connected, intelligent world.

To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.

As Huawei Turkey R&D Center, we are now looking for Fresh Graduate AI Research Engineers to join our ranks.

Key areas of responsibility will be:

1. Literature survey and feasibility analysis,

2. Pros / Cons analysis among various SOTA solutions in the literature,

3. Proof-of-concept development and performance test of the AI model,

4. Consult with the other teams to determine the requirements and formalize the possible ML research directions,

5. Deploy ML services to production at scale considering resource constraints,

6. Provides academic outputs in the form of papers, patents, and technical talks.

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,

• 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.)

C. 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.

D. Essential non-technical requirements

• Fluent in English, both written and spoken,

• Ability to work in a multi-disciplinary and multi-cultural team.

• A real job from day one: We offer you a professional career in one of the leading multinational technology company.
• Local & international: Reaching more than 190 countries, Huawei is a successful and respected business. We focus on the needs of local costumers by harnessing global expertise and team work. For you, that means exceptional exposure and experience.
• Great Development Opportunities: We'll support you every step of the way, with hands on experience which includes functional, cross functional and international rotations.
• Fast growth and ambitious vision.
• Learning and Development opportunities.