Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year 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.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience in Python, including in ML Framework like TensorFlowm JAX, or PyTorch, and data pre-processing frameworks (C++, Mediapipe, Beam, SQL).
Experience applying machine learning techniques to enhance system quality, including algorithm development, data generation, model training, and performance evaluation.
What you'll be doing:
Contribute your machine learning expertise to improve the accuracy and efficiency of content identification algorithms. Collaborate with researchers.
Help addressing emerging challenges in content identification by researching and implementing innovative solutions. Contribute to the evolution of our systems and drive advancements in vector search technology, from combating deepfakes to supporting new content formats (Shorts, 3D, VR).
Apply your understanding of audio and video content processing to enhance feature extraction, classification, and matching capabilities.
Launch new products and enhance the performance, reliability, and scalability of the match system.
Identify and resolve problems within the Match System's large-scale data processing engines.
Perks and benefits:
Google's software engineers develop the next-generation technologies.
Opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
Versatile role with leadership qualities required.
Ability to work at the intersection of cutting-edge technology and boundless creativity at YouTube.
Fostering a culture where everyone has a voice and can connect with one another.