Senior Llm Technologist - Remote, United Kingdom - NVIDIA
Description
What you'll be doing:
- What we need to see:
- MS or PhD in Computer Science/Engineering, Mathematics, Physics, or a related field (or equivalent experience)
- 8+ years of work-related experience in AI for natural language processing (NLP) and large language models (LLM) or otherwise demonstrated exceptional skill in NLP/LLMs
- Strong programming skills in Python and expertise with DL frameworks such as PyTorch.
- Demonstrated publication of code through Github or other open source release and ability to rapidly prototype and release solutions.
- Ability to communicate effectively on communities like X(Twitter), Reddit, Kaggle forums, Discord, etc.
Ways to stand out from the crowd:
- Experience with NVIDIA AI and Data Science software platforms, including Nemo and RAPIDS.
- Proven background in using LLM's to solve complex customer problems.
- Software development skills and a track record of releasing high quality code into open source.
- Deep learning optimization skills including optimizing AI models for performance.
- Being a Kaggle competition grandmaster with gold medals in NLP/LLM competitions.
- Success in machine learning competitions, including reaching the level of Kaggle Grandmaster, or winning competitions sponsored by NeurIPS, CVPR, KDD, or other prestigious AI conferences.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast.
If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from youNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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