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Remote AI Research Engineer
- oxford, oxfordshire, OX1 2JD, United Kingdom
- Permanent·Remote
- Full time
- £74,000 - £74,000 Per Annum
Job Description
About the Role
Our client is seeking a highly motivated and innovative Remote AI Research Engineer to join their advanced research team. In this fully remote role, you will contribute to the development of novel artificial intelligence algorithms and systems, pushing the boundaries of current research. You will work on challenging, long-term projects, collaborate with leading AI researchers, and contribute to publications and intellectual property. This is an exceptional opportunity for a passionate researcher to make significant contributions to AI advancements from the convenience of their home office, drawing inspiration from the rich academic environment of Oxford .
Key Responsibilities
- Conduct research and develop state-of-the-art AI algorithms and models.
- Implement and test novel research ideas, prototypes, and proofs-of-concept.
- Analyze complex datasets and evaluate the performance of AI systems.
- Collaborate with other researchers and engineers on cutting-edge AI projects.
- Stay current with the latest advancements in AI and machine learning research and literature.
- Contribute to research papers, patents, and technical documentation.
Requirements
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in AI research, with a strong publication record in top-tier venues being a significant advantage.
- Expertise in at least one major AI research area (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
- Strong mathematical and analytical skills.
- Excellent communication and collaboration abilities, particularly in a remote setting.
Benefits
- Competitive salary and a generous research bonus structure.
- Comprehensive health, dental, and vision insurance.
- Significant investment in professional development, including conference attendance and training.
- Fully remote work arrangement with flexible hours.
- Opportunity to work on high-impact research with leading experts in the field.
- Access to cutting-edge computational resources and research tools.