Data Scientist, Pre-Training Model Optimization
4 weeks ago
At Lifelancer, we're on a mission to revolutionize the way talent is connected with opportunities in pharma, biotech, health sciences, and IT domains.
We're looking for a highly skilled Data Scientist to join our team and contribute to groundbreaking fundamental research and deployment in large scale pre-training models.
About Us
Lifelancer is a cutting-edge talent-hiring platform that connects talented professionals with top-notch job opportunities across various industries. Our innovative approach enables us to deliver high-quality matches between candidates and employers.
The Role
We're seeking an experienced Data Scientist with a strong empirical and theoretical understanding of deep learning (architecture, optimisation, data, LLMs) to develop novel research ideas that improve Gemini models. Key responsibilities include:
- Developing intuitions grounded in scaling laws and theoretical insights that can lead to research breakthroughs and new model capabilities.
- Understanding and measuring effects of scaling on training dynamics and model performance via scaling laws and other analysis tools.
- Conducting modelling research: using empirical and theoretical insights to derive novel research ideas that improve Gemini models.
- Diving deep into specific aspects of pre-training (modelling, optimisation, data) to understand and improve model dynamics.
- Collaborating with the wider Gemini team, engaging closely with the Data, Infrastructure, and Post-Training teams.
About You
To succeed as a Data Scientist at Lifelancer, you should have:
- A PhD in machine learning or a closely related field, or similar experience.
- A proven track record of large-scale deep learning with hands-on experience with Python and neural network training (publications, open-source projects, relevant work experience).
- An in-depth knowledge of Transformer models and LLM training dynamics.
- Ability to communicate technical ideas effectively, e.g., through discussions, whiteboard sessions, written documentation.
What We Offer
We provide a competitive salary package (£90,000 - £120,000 per year), along with excellent benefits and opportunities for professional growth and development.
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