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Research Scientist

2 months ago

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

We are seeking a highly skilled Research Scientist to join our team at Anthropic. As a Research Scientist, you will play a key role in building large-scale machine learning systems from the ground up. You will be responsible for designing and implementing cutting-edge machine learning algorithms, as well as collaborating with our team of experts to develop and deploy these systems.

Key Responsibilities
  • Design and implement large-scale machine learning systems, including data processing, model training, and deployment
  • Collaborate with our team of experts to develop and deploy machine learning models, including data scientists, software engineers, and researchers
  • Develop and maintain high-quality software components, including data processing pipelines, model training scripts, and deployment tools
  • Contribute to the development of new machine learning algorithms and techniques, including research and experimentation
  • Work closely with our engineering team to ensure that our machine learning systems are scalable, reliable, and maintainable
Requirements
  • Ph.D. in Computer Science, Machine Learning, or a related field
  • Strong background in machine learning, including deep learning and natural language processing
  • Experience with large-scale machine learning systems, including data processing, model training, and deployment
  • Strong programming skills, including Python, C++, and Java
  • Excellent communication and collaboration skills, including experience working with cross-functional teams
Preferred Qualifications
  • Experience with high-performance computing, including GPUs and distributed computing
  • Experience with containerization, including Docker and Kubernetes
  • Experience with cloud-based services, including AWS and Google Cloud
  • Experience with machine learning frameworks, including TensorFlow and PyTorch
What We Offer
  • A competitive salary and benefits package
  • A dynamic and collaborative work environment
  • Opportunities for professional growth and development
  • A chance to work on cutting-edge machine learning projects