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Placements24

Canada / Global

AI Research Engineer

  • Remote

Job Description

About the Role

Our client is looking for an innovative AI Research Engineer to join their fully remote, forward-thinking research division. You will contribute to groundbreaking research and development in artificial intelligence, translating theoretical concepts into practical, scalable solutions. This role involves experimenting with novel algorithms, building prototypes, and collaborating with a team of leading AI experts to advance the state-of-the-art in areas such as machine learning, deep learning, and reinforcement learning. If you are driven by discovery and eager to solve challenging AI problems remotely, this position is ideal. Key Responsibilities

Conduct research and development in advanced AI fields, including deep learning, reinforcement learning, and predictive modeling. Design, implement, and test novel algorithms and AI architectures. Build proof-of-concept systems and prototypes to demonstrate the viability of new AI techniques. Collaborate with AI scientists and engineers to validate research findings and integrate them into product roadmaps. Analyse experimental results, document findings, and contribute to research publications and patents. Stay abreast of the latest academic and industry research in artificial intelligence. Requirements

Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field. Proven experience in AI research, demonstrated through publications, patents, or significant project contributions. Strong programming skills in Python, with experience in ML/DL libraries (e.g., TensorFlow, PyTorch). Solid understanding of machine learning algorithms, statistical modeling, and data analysis. Experience with software development practices and working in a research environment. Ability to work independently and effectively in a remote, collaborative setting. Benefits

Competitive salary and benefits package. Fully remote work arrangement, offering unparalleled flexibility. Significant opportunities for career advancement and professional development. Access to advanced research tools and computational resources. Be part of a team pushing the frontiers of AI research.

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