- An opportunity to be an integral member of a future AI Unicorn
- Exceptional leadership team and investor backing
- Future AI Unicorn with exceptional talent in the team
- Working with the brightest minds in AI
- Strong Equity Package
- Sponsorship Available to relocate and settle in LondonThe business:
- Amberes has partnered with one of the world's leading VC firms to help them build one of their hottest future AI Unicorn businesses building cutting-edge LLM.
- The Founding Machine Learning Engineer will be influential in steering the product development, the technical success, the overall growth, and mainly the culture of a future AI Unicorn.
- Must be able to work from London HQ's x4 days a week in the office
Required Credentials:
- Master's degree as a minimum, ideally a PhD
- Released publications in top conferences
- A GitHub or other Portfolio sites
- A minimum of 3+ years of being a key member of your team ideally for a leading AI research laboratory, or a pioneering AI businessRequired Expertise:
Experience in any of the below three is ideal:
1 - Taken charge of large-scale training efforts of LLMs on 500+ GPUs, significantly improving efficiency
2 - Built custom tooling for GPU farm, using 3D Parallelism, Zero Redundancy Optimizer, Mixed-Precision training
3 - Improved model training time by 100x, enabling the training of 10B+ parameter models from scratch.
- Experience in creating and managing HPC clusters for ML models
- Experience in efficiently serving large ML models at scale
- Experience serving LLM models at scale
- Able to produce and refine large-scale ML systems
- Developed and orchestrated complex machine-learning pipelines
If of interest, please do apply.
Thank you,
Team Amberes
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Founding Machine Learning Engineer - London Area, United Kingdom - Amberes
Description
Founding Machine Learning Engineer
Previous infrastructure engineering experience is a bonus, but not essential
USP's:
