Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience in full-stack development, including in programming languages like Python, Java, C++, web frameworks, and cloud platforms.
Experience with Generative AI technologies and their associated risks and opportunities.
Knowledge of Trust and Safety, Content Safety, or Responsible AI domains, with an understanding of adversarial dynamics, content moderation challenges, or similar safety-adjacent fields.
Knowledge of ML algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and generative AI.
Knowledge of API design, database technologies, and front-end development principles.