Founding Machine Learning Engineer

2 weeks ago

London, United Kingdom Amberes Full time

FOUNDING - Machine Learning Engineer

USP's:

  • Backed by one of the world's very best VC's
  • Exceptional leadership team
  • Future AI Unicorn
  • Working with the brightest minds in AI
  • Great culture - incredibly supportive
  • Strong Stock Package @ Founding Level
  • Sponsorship Available

Amberes has partnered with one of the world's leading VC firms, to help them build one of their hottest future AI Unicorn businesses.

This future Unicorn specialises in building guardrails for large language models for Regulated industries, mainly Healthcare and Finance. This beneficial AI system will change the industry

The Founding MLE will be influential in steering the product development, the technical success, the overall growth, and mainly the culture of a future Unicorn.

You will have the opportunity to work with exceptional VC backers, who have experience building and launching some of the most recognisable companies in the world, and work alongside the brightest minds in the AI/ML world.

Required Experience:

  • Master's degree as a min
  • Released publications in top conferences
  • A GitHub or other Portfolio sites
  • A minimum of 3+ years of being a key member of a leading AI research laboratory, or a pioneering AI business (whether this is a fast-growth AI start-up, or an AI leading business)

Required Expertise:

  • Machine Learning Expertise
  • Experience serving LLM models at scale
  • Able to produce and refine large-scale ML systems
  • Creating HPC clusters across GPU/TPU
  • Built custom tooling for GPU farm
  • Ideally, but not essential, Python software engineering experience (software design/architecture)
  • Developed and orchestrated complex machine-learning pipelines
  • Evaluating language models across GPUs, in PyTorch.
  • Improved model training time by 100x
  • Not essential, but experience working in a High-Frequency Trading environment could be beneficial

If of inetrest, please do apply.

Thank you,

Team Amberes

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