Machine Learning Researcher

2 days ago

London, Greater London, United Kingdom Lifelancer Full time
About the Role

We are seeking a highly skilled Machine Learning Researcher to join our team at Lifelancer.

As a Machine Learning Researcher, you will be responsible for designing, developing, and implementing machine learning models to solve complex problems in various domains.

Key Responsibilities
  • Design and develop machine learning models using various algorithms and techniques
  • Implement and test machine learning models using Python and other programming languages
  • Analyze and interpret results from machine learning models
  • Collaborate with cross-functional teams to integrate machine learning models into larger systems
Requirements
  • PhD student or recent graduate with research experience in a technical discipline
  • First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar
  • Excellent communication skills to report and present research findings and developments clearly, both orally and in writing
  • Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems
  • Self-driven attitude and ability of working with limited supervision
  • Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity
Preferred Qualifications
  • Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc.
  • Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud
  • Previous experience working on large-scale machine learning systems
  • Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries
Salary Information

The estimated salary for this position is £60,000 - £80,000 per annum, depending on experience.

Benefits
  • Hybrid work model with flexible working hours
  • Comprehensive benefits package including health insurance, retirement plan, and paid time off
  • Ongoing training and development opportunities
  • Collaborative and dynamic work environment

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