AI Research Scientist job description

An AI Research Scientist conducts cutting-edge research to advance artificial intelligence technologies, developing novel algorithms and models. They drive innovation by translating theoretical concepts into practical solutions that enhance products, services, and operational efficiency.

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What is a AI Research Scientist?

An AI Research Scientist is a specialized professional who focuses on the theoretical and practical advancement of artificial intelligence. They explore uncharted territories in machine learning, deep learning, natural language processing, and other AI subfields to push the boundaries of what machines can achieve. This role requires a strong foundation in computer science, mathematics, and statistics, often coupled with a PhD or equivalent research experience. AI Research Scientists work at the intersection of academia and industry, contributing to both scientific knowledge and real-world applications.

What does a AI Research Scientist do?

AI Research Scientists design and implement experiments to test new AI hypotheses and methodologies. They develop and optimize machine learning models, often working with large datasets to train and validate algorithms. A key part of their role involves publishing research findings in top-tier conferences and journals to contribute to the global AI community. Additionally, they collaborate with engineering teams to integrate research outcomes into scalable products or systems. They also stay updated with the latest advancements in AI to ensure their work remains innovative and impactful.

Job Overview

We are seeking an innovative AI Research Scientist to lead cutting-edge research in artificial intelligence and machine learning. This role involves developing novel algorithms, publishing research findings, and translating theoretical concepts into practical solutions that advance our AI capabilities across various applications.

AI Research Scientist responsibilities include:

1. Design and implement state-of-the-art machine learning algorithms and models 2. Conduct original research in areas such as deep learning, natural language processing, or computer vision 3. Publish research findings in top-tier conferences (NeurIPS, ICML, CVPR, ACL) 4. Collaborate with engineering teams to deploy research models into production systems 5. Analyze and optimize model performance, scalability, and efficiency 6. Stay current with latest advancements in AI research and incorporate new techniques 7. Mentor junior researchers and contribute to patent applications
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Must-Have Requirements

1. PhD in Computer Science, Artificial Intelligence, Machine Learning or related field 2. 3+ years of hands-on research experience in machine learning or AI 3. Strong publication record in top AI/ML conferences or journals 4. Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow) 5. Expertise in one or more specialized areas: NLP, computer vision, reinforcement learning 6. Solid mathematical foundation in linear algebra, probability, and optimization 7. Experience with large-scale data processing and model training

Preferred Qualifications

1. Postdoctoral research experience in AI/ML 2. Experience with distributed training frameworks (Horovod, DeepSpeed) 3. Knowledge of cloud platforms (AWS SageMaker, Google AI Platform) 4. Previous industry research experience in tech companies or research labs 5. Contributions to open-source AI projects or frameworks 6. Experience with GPU programming and optimization (CUDA) 7. Background in interdisciplinary research applying AI to scientific domains

Bonus Skills

1. Award-winning research papers or best paper awards 2. Experience with quantum machine learning or neuromorphic computing 3. Proficiency in C++ for high-performance computing 4. Previous work on AI ethics, fairness, or explainable AI 5. Experience with automated machine learning (AutoML) systems 6. Knowledge of graph neural networks or geometric deep learning 7. Participation in competitive AI challenges (Kaggle Grandmaster)

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