Lead AI Research Scientist

About the Role

Our client is at the forefront of developing groundbreaking AI solutions and is seeking a visionary Lead AI Research Scientist to spearhead their research initiatives in London . This is a pivotal role where you will define the future of our AI capabilities, driving innovation from conceptualization to practical implementation. You will lead a talented team of researchers and engineers, fostering a collaborative environment focused on pushing the boundaries of machine learning, deep learning, and natural language processing. This position offers a unique opportunity to make a significant impact on the company's technological roadmap and contribute to cutting-edge advancements in the field, all within a dynamic, fully remote setting.

Key Responsibilities

• Lead and mentor a team of AI researchers and engineers, guiding their technical development and project contributions.
• Design and execute novel research experiments in areas such as deep learning , reinforcement learning, and computer vision.
• Develop and prototype advanced AI algorithms and models, ensuring they are scalable and deployable.
• Collaborate with product teams to translate research findings into tangible features and products.
• Stay abreast of the latest academic research and industry trends to identify new opportunities and potential breakthroughs.
• Publish research findings in top-tier conferences and journals, representing the company's scientific prowess.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of leading research projects and delivering impactful AI solutions.
• Extensive experience with Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of various machine learning paradigms, including neural networks and generative models .
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Demonstrated experience in a remote work environment, managing projects and teams effectively.

Benefits

• Highly competitive salary and performance-based bonuses.
• Generous stock options and long-term incentive plans.
• Comprehensive health, dental, and vision insurance coverage.
• Generous professional development budget for conferences and training.
• Flexible working hours and a commitment to work-life balance in a remote setting.