
Research Engineer in Reinforcement Learning
- London
- £67,500-80,000 per year
- Permanent
- Full-time
- Research, design, and implement scalable deep learning and reinforcement learning algorithms to best leverage modern hardware and distributed computing systems (GPUs, TPUs, etc.).
- Write production-grade code.
- Report and present your research and development work internally and externally, tailoring communication to technical and non-technical audiences.
- Collaborate cross-functionally with AI researchers, engineers, product managers, and business development teams.
- Represent InstaDeep at technical conferences, customer meetings, and other events when needed.
- A university degree in Computer Science, Machine Learning, Reinforcement Learning or a related field.
- Proven professional experience in research or applied machine learning roles in the domain of Reinforcement Learning.
- Solid understanding of software development, data engineering, ML, and RL principles.
- Proficiency in Python and modern ML libraries (TensorFlow, PyTorch, JAX).
- Solid understanding of and experience with version control workflows (GitHub, GitLab) and clean coding practices.
- A right to work full-time in the United Kingdom.
- Working from our Paddington office at least 3 days per week.
- Prior experience with applying Reinforcement Learning algorithms to combinatorial optimization problems.
- Hands-on experience in high-performance computing environments (e.g., Kubernetes, Ray, Dask).
- Expertise in related fields such as Computer Vision, Representation Learning, or Simulation Environments.