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AI Research Scientist

JH Partners (EMEA) Company Limited
Posted 25 days ago, valid for 7 days
Location

London, Greater London EC1R 0WX

Salary

£50,000 - £60,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • We are looking for an AI Research Scientist to join our team, focusing on innovative research and development in artificial intelligence.
  • The position requires a Master’s or PhD in a technical field and at least 3 years of relevant experience.
  • Candidates should be proficient in Python and modern deep learning frameworks such as PyTorch or JAX.
  • The role offers a competitive salary of $120,000 per year, with opportunities for growth and collaboration.
  • Ideal applicants will have strong mathematical skills and experience with machine learning applications in various fields.

We are seeking a highly skilled and motivated AI Research Scientist to join our dynamic team. In this role, you will be at the forefront of advancing artificial intelligence through innovative research and development. Your work will involve generating AI/ML ideas, designing experiments, implementing solutions, and evaluating results.Key

Responsibilities:

  • Generate and implement AI/ML ideas, conducting experiments and evaluating outcomes.
  • Prepare and present research findings at AI conferences and workshops.
  • Collaborate with researchers and engineers to define, build, and test next-generation AI hardware.

Essential Qualifications:

  • Master’s or PhD in a technical field (e.g., Mathematics, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
  • Proficiency in Python programming within modern deep learning frameworks (e.g., PyTorch or JAX).
  • Strong understanding of deep learning fundamentals: models, optimization, evaluation, and scaling.
  • Ability to design, execute, and report on machine learning experiments.
  • Solid mathematical skills in calculus, probability theory, and linear algebra.

Desirable Skills:

  • Experience in distributed computing or efficient computing using low-precision arithmetic.
  • Familiarity with deep learning models, including large generative models for various modalities.
  • Knowledge of machine learning applications in chemistry or biological sciences.
  • Proficiency in lower-level programming for hardware efficiency (e.g., C++, CUDA).
  • Understanding of hardware capabilities for deep learning (e.g., threads, caches).
  • Familiarity with software stacks for deep learning (e.g., compilation, kernel fusion).

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.