Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience in developing machine learning models such as recommender systems, pricing optimization, user modeling, or computational advertising.
Experience architecting and deploying ML systems that function efficiently at a massive scale.
Experience mentoring and leading engineers on technical projects.
Understanding of large-scale data processing frameworks such as SQL, Spark or MapReduce, Python for efficient data querying and analysis.
Excellent communication skills with the ability to convey the team's technical goal effectively to executive leadership and cross-functional stakeholders.