Reinforcement Learning Research Engineer: Scalable, Safe AI

Alcides Fonseca; Greater London; Hybrid; GBP 89,000 - 133,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working hours

Generous vacation and parental leave

Job summary

A public benefit corporation in London is looking for a Research Engineer to advance reinforcement learning AI capabilities. This role demands collaboration with diverse teams and involves both research and engineering at the forefront of AI development. The ideal candidate should have a Bachelor's degree and strong skills in Python and machine learning frameworks. Competitive compensation, a supportive environment, and a hybrid work model are offered, including commitment to ethical AI development.

Qualifications

• Proficient in Python and async/concurrent programming.
• Experience with machine learning frameworks like PyTorch, TensorFlow, or JAX.
• Industry experience in machine learning research.

Responsibilities

• Collaborate with researchers and engineers to improve AI systems.
• Implement novel approaches and contribute to research direction.
• Create models for tasks like autonomous software generation.

Skills

Python

Async/concurrent programming

Machine learning frameworks

Code quality

Systems design

Communication skills

Education

Bachelor's degree in a related field

Tools

PyTorch

TensorFlow

JAX

Kubernetes

Job description

A public benefit corporation in London is looking for a Research Engineer to advance reinforcement learning AI capabilities. This role demands collaboration with diverse teams and involves both research and engineering at the forefront of AI development. The ideal candidate should have a Bachelor's degree and strong skills in Python and machine learning frameworks. Competitive compensation, a supportive environment, and a hybrid work model are offered, including commitment to ethical AI development.