AI Research Engineer - Specializing in Large Language Models
Huawei Telekomünikasyon Dis Ticaret Ltd, Turkey
Job Description
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 Ramp;D Center, we are now looking for Junior/Mid/Senior LLM Research Engineers to join our ranks.
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, PyTorch and Tensorflow.
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. Large Language Models (LLM) field
- Proven experience as a Machine Learning/AI Engineer or similar role building largescale ML/LLM systems to solve real live-stream problems.
- Experience in LLM or NLP tasks (academic or industrial proof is needed)
- Ability to understand, cover and implement the newly published LLM papers, architectures and their components.
- Practical experience in deploying, finetuning, quantizing and optimizing LLM models
D. GPU Programming
· Developing experience on Ascend NPU
· Developing experience on Nvidia GPU
E. Working efficiency
- Fully-easy working capability in version control systems such as Git
- Experience in Docker for building a simulation of the production environment
F. Academic
- Master degree in computer science, data science, or a related field (Ph.D. is a plus),
- Articles and Proceedings in reputable journals related to LLM and NLP systems is an important plus.
Essential non-technical requirements:
- Fluent in English, both written and spoken,
- Ability to work in a multi-disciplinary and multi-cultural team.
Benefits
- A real job from day one: We offer you a professional career in one of the leading multinational technology company.
- Local amp; 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.