Senior AI Scientist

We are seeking an innovator with strong research skills in delivering breakthrough advances in the mathematics and algorithms of LLM training (we are not looking for a data scientist, regardless of seniority or experience)

A curious, reliable, independent thinker, who is confident in applying their solid critical analysis skills to challenging problems

Requirements

Must have a Masters Degree or Doctorate in Mathematics, Physics or Computer Science (with a strong mathematical background)

plus relevant work experience to demonstrate transferable skills in communication, team working, and time management

Able to work remotely with lightweight supervision, and keen to integrate into our small but select team of highly qualified researchers

Able to challenge the status quo and innovate from the ground up

Must have a fundamental intuitive grasp of the mathematics underlying neural networks, deep learning and large language models; including linear algebra, probabilistic inference, nonlinear optimisation, and information theory - additional skills such as graph theory, and other relevant subjects are advantageous. We would expect a solid understanding in the majority of the following areas:

properties of vector spaces, matrix factorisation, Eigen systems and singular value decomposition, geometry of high-dimensional metric spaces

Bayesian inference, parametric likelihood modelling

linear least squares, gradient decent, Hessian and pseudo-Hessian methods

compression and embedding, entropy and cross-entropy, information gain

Confident in demonstrating the ability to do more than assemble components from existing libraries

Familiarity of the latest developments in large language models, and a solid understanding in the majority of the following:

• attention mechanisms
• state space models
• mixture of experts
• transfer learning, fine-tuning, distillation, few-shot- and zero-shot-learning
• weight sharing and low rank methods
• Well versed in developing, implementing and benchmarking novel solutions to complex problems
• Must be able to show competence in taking mathematical ideas through to practical implementations in software
• Strong Python and PyTorch skills, with the ability to write efficient, well-organised code to our internal standards, and to ensure fitness for purpose with appropriate testing
• Basic understanding and experience with version control / git
• Bonus: GPU programming in CUDA or Triton experience would be welcome but is not necessary
• Able to adopt a work schedule, and attend team meetings to fit UTC to UTC+3 time-zones
  
  

Benefits

• We offer a market-appropriate salary based on your skills and experience
• Full-Time Commitment: 40 hours per week
• Generous Paid Time Off: Enjoy 30 days of holiday per year
• Sickness Pay
• Contract Flexibility: We are open to discussing the best fit for your needs, offering terms for both a standard employee and an independent contractor
  
  

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

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