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- Tasks: Lead innovative research in NLP and Machine Learning, developing cutting-edge solutions.
- Company: Join a leading organisation at the forefront of AI research.
- Benefits: Competitive pay, flexible working hours, and opportunities for collaboration with top academics.
- Why this job: Make a real impact in the exciting field of Natural Language Processing.
- Qualifications: MSc in NLP or Machine Learning; strong technical skills in relevant tools.
- Other info: Dynamic, multicultural team with excellent growth potential.
The predicted salary is between 36000 - 60000 £ per year.
Overview
We are looking for Research Engineers with experience in Natural Language Processing, Machine Learning, and Large Language Models (LLMs) in general. In this role, candidates will conduct both academic and applied research in the field of NLP and Machine Learning. In particular, the candidates are expected to develop novel contributions in supervised fine-tuning, LLM self-learning, LLM efficiency, LLMs for reasoning, Programming Languages and Math, as well as related tasks. The candidates will work on individual and team projects, with opportunities for collaborations with world-class academic organizations.
Responsibilities
- Lead and participate in cutting-edge research projects.
- Build benchmarks and baselines using public datasets.
- Train LLMs on novel, applicable, and practical tasks.
- Publish research papers at top-tier NLP/ML/AI conferences and journals.
- External engagement: give talks and collaborate with academic leaders.
Qualifications
- Obtained the right to work in the UK.
- Have a MSc degree in Natural Language Processing, Machine Learning, or related areas.
- Strong technical skills and familiarity with PyTorch, HuggingFace, DeepSpeed.
- Have a strong research track record with multiple publications in top-tier NLP/ML conferences including ACL, NAACL, EMNLP, EACL, NeurIPS, ICLR, ICML, and top-tier journals.
- Be result-driven with good communication skills; able to work efficiently in a multi-cultural, multi-site, multi-language, and changing environment.
- Be able to work autonomously and as part of a team of research and technical experts.
Desired
- Have a PhD degree in Natural Language Processing, Machine Learning, or related areas.
- Have very good knowledge of existing LLMs and evaluation frameworks, including experience with the most recent foundational language models.
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Research Scientist / Engineer in NLP (Contractor) employer: Huawei
Contact Detail:
Huawei Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist / Engineer in NLP (Contractor)
✨Tip Number 1
Network like a pro! Reach out to folks in the NLP and ML community on LinkedIn or at conferences. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and NLP. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and research experience. We recommend practising common interview questions related to NLP and ML, so you can confidently discuss your past projects and publications.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Research Scientist / Engineer in NLP (Contractor)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in NLP and Machine Learning. We want to see your technical skills shine, so don’t hold back on mentioning your familiarity with tools like PyTorch and HuggingFace!
Tailor Your Application: Customise your CV and cover letter to match the job description. We love seeing how your past experiences align with our needs, especially in areas like LLM efficiency and supervised fine-tuning.
Research and Collaborate: Mention any collaborations or research papers you've published in top-tier conferences. This shows us you’re not just a lone wolf but someone who thrives in a team environment and contributes to the academic community.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Huawei
✨Know Your NLP Stuff
Make sure you brush up on the latest trends and breakthroughs in Natural Language Processing. Be ready to discuss your previous projects, especially those involving supervised fine-tuning and LLMs. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Research
Prepare to talk about your research papers and any publications you've contributed to. Highlight your role in these projects and how they relate to the job. This will demonstrate your expertise and commitment to advancing the field of NLP.
✨Get Technical
Familiarise yourself with the tools mentioned in the job description, like PyTorch and HuggingFace. If you’ve used them in your past work, be ready to share specific examples of how you applied these technologies to solve problems or improve models.
✨Be a Team Player
Since collaboration is key in this role, think of examples where you've successfully worked in a team. Discuss how you communicate effectively across different cultures and languages, as well as how you adapt to changing environments. This will show that you can thrive in a multi-site setting.
