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For Companies At a Glance
- Tasks: Conduct cutting-edge research in NLP and Machine Learning, developing novel contributions.
- Company: Join Huawei Technologies, a leader in tech innovation and research.
- Benefits: Competitive pay, flexible working conditions, and opportunities for collaboration with top academics.
- Why this job: Make a real impact in the exciting field of NLP and work with world-class experts.
- Qualifications: MSc in NLP or Machine Learning; strong technical skills and research experience required.
- Other info: Dynamic, multicultural environment with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
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, successful candidates are expected to develop novel contributions in the fields of 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, while opportunities for collaborations with world-class academic organizations are provided.
Key Responsibilities
- Lead and participate in cutting-edge research projects.
- Build benchmarks/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.
Person Specification
Required:
- 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; be 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.
Research Scientist / Engineer in NLP (Contractor) in London employer: Huawei Technologies Research & Development (UK) Ltd
Contact Detail:
Huawei Technologies Research & Development (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist / Engineer in NLP (Contractor) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the NLP and Machine Learning community. Attend meetups, webinars, or conferences where you can connect with industry leaders and fellow researchers. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, research papers, and any contributions to open-source NLP tools. This will give potential employers a taste of what you can bring to the table, especially when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past research and how it relates to the role. Practising common interview questions can help you feel more confident and articulate.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you on their radar as they make their decision.
We think you need these skills to ace Research Scientist / Engineer in NLP (Contractor) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Scientist / Engineer role. Highlight your experience in NLP, Machine Learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about NLP and how your background makes you a great fit for our team. Don't forget to mention any specific projects or research that excites you about this role.
Showcase Your Research Experience: Since we value a strong research track record, make sure to list your publications and any conferences you've attended. We love seeing candidates who are actively engaged in the academic community, so let us know about your contributions!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep everything organised and ensures your application reaches the right people. Plus, it's super easy to do!
How to prepare for a job interview at Huawei Technologies Research & Development (UK) Ltd
✨Know Your NLP Stuff
Make sure you brush up on your knowledge of Natural Language Processing and Machine Learning. Be ready to discuss your experience with LLMs, supervised fine-tuning, and any relevant projects you've worked on. This is your chance to show off your technical skills!
✨Showcase Your Research
Prepare to talk about your research track record. Highlight your publications in top-tier conferences like ACL or NeurIPS. Bring copies of your papers if possible, and be ready to discuss the impact of your work and how it relates to the role.
✨Practice Problem-Solving
Expect some technical questions or case studies during the interview. Practice explaining your thought process when tackling complex problems, especially those related to LLM efficiency or reasoning tasks. This will demonstrate your analytical skills and ability to think on your feet.
✨Cultural Fit Matters
Since you'll be working in a multi-cultural environment, be prepared to discuss how you adapt to different team dynamics. Share examples of past collaborations and how you communicate effectively across diverse groups. This shows you're not just a tech whiz but also a great team player!
