Reinforcement Learning Architect

Become a key player in enhancing mobile AI capabilities through innovative reinforcement learning and machine learning techniques. This contract role is essential to developing impactful, scalable systems that push technological boundaries.

As an Engineer for a 12-month contract, your work will involve designing infrastructure that supports advanced ML applications, including RL and recommendation systems. You will be responsible for implementing and optimizing deep learning architectures such as Transformers and working with large multimodal models. Close collaboration with research teams will ensure the successful application of AI methodologies in production settings.

Key Responsibilities:

• Design RL infrastructure for large-scale applications

• Develop solutions for complex recommendation systems

• Optimize deep learning architectures and fine-tune models

• Benchmark and validate results in real-world environments

• Integrate emerging AI tools into existing platforms

Requirements:

• Master’s or PhD in relevant fields

• Strong Python programming with excellent engineering skills

• Foundation in RL, deep learning, and Transformers

• Hands-on experience with PyTorch and distributed systems

• Research experience with notable publications in leading conferences

Harness your expertise in reinforcement learning and AI to propel mobile technology and deliver high-performing systems.