Вакансія Senior Applied AI Scientist

Skills

• NLP
• LLM
• RAG
• PyTorch
• TensorFlow
• AWS
• GCP

Опис вакансії

As a Senior AI Scientist, you will lead the development of AI-driven personalized learning solutions and shape Preply's scientific roadmap. Working alongside exceptional scientists and engineers, you will architect state-of-the-art models and systems that enhance the experiences of millions of learners worldwide.

What you’ll be doing:

• AI Research & Development: Apply deep learning, NLP, information retrieval (IR), LLMs, and multimodal AI to build and optimize scalable machine learning solutions for personalized learning and AI tutors.
• Applied Science Execution: Work on cutting-edge AI models, contributing to research, prototyping, and deployment in production environments.
• Cross-functional Collaboration: Partner with scientists, engineers, and product teams to deliver AI-driven solutions that improve learning experiences and business outcomes.
• Mentorship & Knowledge Sharing: Support and mentor junior scientists and engineers, fostering an environment of learning and innovation.
• Best Practices in ML: Contribute to machine learning best practices, including model architecture, research methodologies, and deployment pipelines.

What you need to succeed:

• PhD NLP, IR, Machine Learning, or a related field (or equivalent experience)
• 4+ years of industry experience, focusing on deep learning-based NLP and IR applications.
• Experience with retrieval models, ranking models, LLMs and retrieval-augmented generation (RAG).
• Strong proficiency in deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with cloud platforms (e.g., AWS, Google Cloud).
• Ability to drive AI initiatives from research to production in a collaborative environment.
• Strong problem-solving skills and a track record of building impactful AI solutions.
• Passion for advancing AI-driven personalized learning experiences.
• Eagerness to work in a fast-paced, cross-functional setting to bring AI research into real-world applications.