London, UK Hybrid Employment £260,000 - £630,000 GBP

Anthropic is hiring a Research Engineer, Machine Learning (Reinforcement Learning)

About the Role

We are seeking a Research Engineer with a strong background in machine learning, particularly in reinforcement learning, to contribute to the development of advanced AI systems.

Responsibilities

  • Design and implement reinforcement learning algorithms.
  • Conduct research to advance the state of the art in reinforcement learning.
  • Collaborate with cross-functional teams to integrate reinforcement learning into AI systems.
  • Ensure the safety and ethical considerations of AI systems.
  • Evaluate and improve the performance of reinforcement learning models.
  • Document research findings and publish papers in relevant conferences and journals.
  • Stay updated with the latest developments in reinforcement learning and AI.
  • Provide technical guidance to junior team members.
  • Participate in code reviews and contribute to the development of best practices.
  • Work on projects that have a significant impact on the field of AI.
  • Contribute to the development of new AI technologies and methodologies.
  • Collaborate with external researchers and academic institutions.
  • Develop and maintain reinforcement learning frameworks and tools.
  • Conduct experiments to validate reinforcement learning algorithms.
  • Analyze data to identify trends and patterns in reinforcement learning.
  • Develop and implement reinforcement learning models for real-world applications.
  • Work on projects that involve natural language processing and computer vision.
  • Contribute to the development of AI systems that can learn from human feedback.
  • Develop and implement reinforcement learning algorithms for robotics and autonomous systems.
  • Work on projects that involve the integration of reinforcement learning with other AI technologies.
  • Contribute to the development of AI systems that can learn from and adapt to new environments.
  • Develop and implement reinforcement learning algorithms for game playing and decision-making.
  • Work on projects that involve the development of AI systems for healthcare and finance.

Nice to Have

  • Experience with developing AI systems for healthcare and finance.
  • Knowledge of AI ethics and safety considerations.
  • Experience with robotics and autonomous systems.
  • Ability to conduct experiments and analyze data.
  • Experience with game playing and decision-making algorithms.
  • Knowledge of healthcare and finance applications of AI.
  • Experience with developing and maintaining reinforcement learning frameworks and tools.
  • Ability to stay updated with the latest developments in reinforcement learning and AI.
  • Experience with collaborating with cross-functional teams.
  • Knowledge of AI systems that can learn from human feedback.
  • Experience with developing and implementing reinforcement learning models for real-world applications.
  • Ability to document research findings and publish papers in relevant conferences and journals.
  • Experience with conducting research to advance the state of the art in reinforcement learning.
  • Knowledge of AI systems that can learn from and adapt to new environments.

Compensation

Competitive salary and benefits package.

Work Arrangement

On-site with flexible hours.

Team

Join a dynamic team of researchers and engineers working on cutting-edge AI technologies.

Our Values

  • We value innovation, collaboration, and ethical considerations in AI development.
  • We strive to create AI systems that are safe, reliable, and beneficial to society.
  • We foster a culture of continuous learning and improvement.
  • We believe in the importance of diversity and inclusion in our team.
  • We are committed to advancing the state of the art in reinforcement learning and AI.

What We Offer

  • Competitive salary and benefits package.
  • Opportunities for professional development and growth.
  • A dynamic and collaborative work environment.
  • The chance to work on cutting-edge AI technologies.
  • A supportive and inclusive team culture.

How to Apply

  • Submit your resume and cover letter through our online application system.
  • Include a portfolio of your relevant work and research publications.
  • Highlight your experience and skills in reinforcement learning and AI.
  • Describe your interest in the role and how you can contribute to our team.
  • Provide any additional information that may be relevant to your application.

Visa sponsorship available for qualified candidates.

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About company
Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
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Job Details
Department Reinforcement Learning
Category other
Posted 2 hours ago