Member of Technical Staff

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Moonvalley

πŸ“Remote - United Kingdom

Job highlights

Summary

Join Moonvalley's Technical Staff as a Member and contribute to cutting-edge research in generative AI, working on projects like computer vision models, machine learning pipelines, and experiment tracking systems.

Requirements

  • MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision
  • Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS)
  • Exceptionally strong Python skills - Minimum 5 years of experience
  • Knowledge of CNN, RNN/LSTM/GRU, and Transformer models
  • Rapid prototyping using open-source algorithms and shaping them to meet product needs
  • Experience deploying ML models in the Cloud
  • Prior experience with AWS and related services
  • Experience with databases (Postgres/MySQL)
  • ML framework: Pytorch / Tensorflow
  • Experience with experiment tracking systems

Responsibilities

  • Work closely with academic advisors to incorporate cutting-edge research into our product
  • Contribute to R&D projects aimed at developing computer vision models
  • Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products
  • Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines
  • Conducting experiments, analyzing results, and iterating on models to optimize performance
  • Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models
  • Experiment, validate, and iterate on machine learning models specific to video and image processing
  • Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance

Benefits

  • Competitive salary and equity
  • Private health coverage
  • Pension contribution
  • Unlimited paid vacation
  • Fully-distributed culture that’s async first
  • Hardware setup
  • Stipends for phone, internet, and meals

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