Machine Learning Engineer (RL)
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Machine Learning Engineer (Reinforcement Learning) About the job We are a VC-backed startup focused on behavioural AI, currently in stealth mode. We are building for retail with a focus on reinforcement learning, generative AI and recommendation systems. We are looking for a Machine Learning Engineer with recent experience in deep reinforcement learning to work with our team of industry leading domain experts and engineers. Areas of focus: Develop and implement: Design and implement scalable machine learning and deep learning algorithms, with a focus on reinforcement learning. Solution development: Translate latest machine learning advances into impactful solutions and products, from MVPs to fully deployed systems. Performance optimisation: Optimise machine learning models for performance in modern environments (e.g., distributed clusters, GPUs). Requirements: Education: Ph.D. in Computer Science, Machine Learning, Reinforcement Learning, or a closely related field. Experience: 2-5 years of professional experience in a relevant role. Machine learning expertise : Strong foundation in machine learning and deep learning algorithms (e.g., neural networks, supervised/unsupervised learning). Reinforcement learning: Strong understanding of reinforcement learning concepts and algorithms. Programming proficiency: Excellent Python programming skills with experience in developing and debugging production-level code. Experience with C/C++ is a significant plus. Deep learning frameworks: Expertise with autograd libraries such as TensorFlow, PyTorch, Keras, and/or JAX.
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