Lead a team in the design, development, and deployment of scalable generative AI applications and advocating industry best practices.
Lead the team through the rapid development of new features, iterating based on evaluation results while mentoring members to cultivate a collaborative and high-performing environment.
Collaborate with researchers and product managers to translate research advancements into tangible product features.
Oversee the optimization of software performance and ensure the reliability of deployed applications.
Lead the architecture and development of new products and features from 0 to 1.
Minimum qualifications
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
8 years of software development experience, including system design, data structures, and algorithms.
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.
Preferred qualifications
5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Experience with generative AI research or applications.
Experience evaluating model performance, analyzing results, and implementing improvements.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
Experience in developing and shipping software products rapidly.
Contributions to open-source projects.
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
8 years of software development experience, including system design, data structures, and algorithms.
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.
