VERSES is hiring a
Machine Learning Researcher in United Kingdom

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Machine Learning Researcher
🏢 VERSES
💵 ~$193k-$257k
📍United Kingdom
📅 Posted on Jul 1, 2024

Summary

VERSES is seeking a Senior Machine Learning Researcher to join their team and contribute to groundbreaking products in the field of machine learning. The role involves pursuing cutting-edge ML research independently and as part of a team, developing ML theory and implementations at scale, publishing papers, and collaborating with others in the scientific community. Essential qualifications include a demonstrated track record of publishing in top ML venues, an advanced degree in a quantitative field, experience at the cutting edge of machine learning research, knowledge of implementing AI systems at scales, and ability to work within a team.

Requirements

  • Demonstrated track record at publishing in top echelon ML venues such as NeuIPS, ICML, ICLR, CVPR, etc on topics such Deep Learning, Reinforcement Learning, ML Theory & Foundations Unsupervised Learning & Generative Models
  • Advanced degree in a quantitative field, with experience in computer science, data science, statistics and operations research
  • Experience at the cutting edge of machine learning research
  • Have knowledge of implementing AI systems at scales
  • Knowledge of deploying ML services on the cloud, working with big data
  • Ability to work within a team of both ML research scientists and engineers
  • Sympathetic to Bayesian approaches in machine learning
  • Must have a Masters degree, have a PhD or be pursuing doctoral studies

Responsibilities

  • Pursuing cutting edge ML research both independently and as part of a team
  • Developing ML theory, constructing ML implementations at scale and publishing papers
  • With a focus on: ML benchmarking, ML scaling, structure learning, message passing on factor graphs, and/or algorithm development
  • Distilling and presenting your work to our company leaders on a regular basis
  • This individual may work with others in the scientific or research community to assist them in their research

Benefits

  • Global virtual work environment (although some positions may need to operate within specific time zones)
  • Generous & robust benefit programs for medical, dental, vision & lifes
  • Mental Health wellness programs
  • Responsible paid time off policy (RTO), and, of course, company-recognized Holidays!!!
  • Vested interest in the success of individuals
  • Generous total rewards package which includes equitable base pay, potential for bonuses, stock options
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