Bachelor's degree or equivalent practical experience.
8 years of experience with software development.
7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Preferred qualifications:
Master's degree or PhD in Computer Science, specializing in Machine Learning, Artificial Intelligence, or Natural Language Processing.
Experience with fine-tuning, evaluating, and deploying large language models (LLMs) or other large-scale generative models.
Familiarity with the issues of on-device ML, including model quantization, performance optimization, and memory management.
Understanding of modern ML model evaluation techniques, including industry-standard benchmarks, quantitative metrics, and qualitative/human evaluation methodologies.
Ability to define and execute a multi-year technical strategy for an ML-focused team, aligning it with broader product and business goals.