preply - Senior Principal Applied AI Scientist
Requirements
• Academic and professional background: • PhD in NLP, IR, Machine Learning, or related fields (or equivalent experience). • 8+ years of industry experience, with a strong focus on deep learning-based NLP, LLM continuous pre-training, and IR methods. • Scientific and technical expertise: • Demonstrated expertise in retrieval models and extensive experience with ranking models. • Strong understanding and experience with retrieval-augmented generation (RAG) and LLMs for real-world applications. • Proficiency in deep learning frameworks such as PyTorch. • Hands-on experience with cloud platforms (e.g., AWS, Google Cloud). • Leadership & impact: • Proven ability to lead scientific roadmaps across multiple product areas, aligning them with business objectives while collaborating with Product and Engineering. • Track record of solving real-world problems throughout the entire product lifecycle, from research to production. • Visionary mindset: • A passion for driving scientific innovation to enhance personalized learning experiences. • Strong collaboration skills and the ability to work cross-functionally with diverse teams.
Responsibilities
• Innovative R&D: Leverage your extensive experience in Deep learning, NLP, Information Retrieval (IR), LLMs and multimodal AI to design and deploy scalable machine learning solutions for personalized learning and intelligent tutor systems. • Scientific leadership: Develop long-term scientific roadmaps, aligning them with Preply’s product strategy and business goals. Act as a strategic advisor to senior leadership on investments, technology direction, and organizational planning. • Cross-functional collaboration: Partner closely with applied science leaders, product managers, and engineering teams to deliver AI solutions that address user needs and unlock new business opportunities. • Mentorship & knowledge sharing: Guide and mentor scientists and engineers, fostering a collaborative and innovative science community within Preply. • Drive best practices: Establish and advocate for best practices in machine learning, including architecture design, research roadmaps, and deployment pipelines.
Benefits
• An open, collaborative, dynamic and diverse culture; • A generous monthly allowance for lessons on http://preply.com/Preply.com http://Preply.com, Learning & Development budget and time off for your self-development; • A competitive financial package with equity, leave allowance and health insurance; • Access to free mental health support platforms;
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