At a Glance
- Tasks: Lead cutting-edge NLP research and develop innovative solutions for real-world applications.
- Company: Join a forward-thinking tech company that values diversity and innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a significant impact in the exciting field of natural language processing.
- Qualifications: Strong background in NLP, machine learning, and programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Responsible for NLP research and development including LLM reasoning, conversational agents, machine translation, part-of-speech tagging, sentence analysis and named entity recognition.
- Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data.
- Explore applications of NLP techniques and deep learning algorithms in games.
- Follow the latest developments in academia and industry and quickly apply findings in your work.
Qualifications
- Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects.
- Proficient in at least one programming language, familiar with basic data structures and algorithms.
- Practical experience working with large language models (e.g., DeepSeel, Qwen, LLaMA), including model fine-tuning, instruction tuning, and evaluation.
- Familiarity with training optimization frameworks like DeepSpeed, FSDP, and LoRA is highly preferred.
- Experience using tools and frameworks such as LLaMAFactory, Hugging Face Transformers, LangChain, or OpenLLM for model deployment, serving, or pipeline development.
- Comfortable with using modern MLOps practices for NLP workflows.
- Demonstrated ability to publish research results in top-tier NLP conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) or practical contributions to open-source LLM/NLP projects is preferred.
- Comfortable with both classical (e.g., CRF, SVM) and deep learning approaches (e.g., Transformers, RNNs, CNNs, LSTMs, GANs).
- Deep understanding of transformer architectures, attention mechanisms, and distributed training techniques is a strong advantage.
Equal Employment Opportunity
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Senior Researcher, Natural Language Processing in London employer: Lightspeed Studios
At Tencent, we pride ourselves on being an exceptional employer, particularly for those passionate about advancing Natural Language Processing. Our vibrant work culture encourages innovation and collaboration, providing ample opportunities for professional growth through cutting-edge projects and research initiatives. Located in a dynamic tech hub, we offer competitive benefits and a commitment to diversity, ensuring that every employee feels valued and empowered to contribute to meaningful advancements in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Researcher, Natural Language Processing in London
✨Tip Number 1
Network like a pro! Reach out to folks in the NLP community, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects, especially those involving large language models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your past projects and how you tackled challenges in NLP. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about NLP and eager to join our team. It’s a great way to stand out!
We think you need these skills to ace Senior Researcher, Natural Language Processing in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with NLP and machine learning. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects and achievements!
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 perfect fit for the role. Let us know what excites you about working at StudySmarter!
Showcase Your Projects:If you've worked on any NLP-related projects, make sure to mention them! Whether it's fine-tuning models or deploying pipelines, we love seeing practical examples of your work that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Lightspeed Studios
✨Know Your NLP Fundamentals
Brush up on your NLP basics before the interview. Make sure you can confidently discuss concepts like LLM reasoning, part-of-speech tagging, and named entity recognition. Being able to explain these terms clearly will show that you have a solid foundation.
✨Showcase Your Projects
Prepare to talk about your previous NLP projects in detail. Highlight your experience with large language models and any specific frameworks you've used, like Hugging Face Transformers or LangChain. Real-world examples will demonstrate your practical skills and understanding.
✨Stay Updated on Trends
Familiarise yourself with the latest developments in NLP and deep learning. Be ready to discuss recent papers or breakthroughs in the field, especially those relevant to conversational agents or machine translation. This shows your passion and commitment to continuous learning.
✨Practice Problem-Solving
Expect some technical questions or coding challenges during the interview. Brush up on your programming skills and be prepared to solve problems related to data structures and algorithms. Practising common interview questions can help you feel more confident.
