Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
6 years of experience with cloud native architecture in a customer-facing or support role.
Experience engaging with and presenting to technical stakeholders and executive leaders.
Experience with ML development and deployment.
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using ML application programming interfaces (APIs).
Preferred qualifications:
Master's degree in Computer Science, Engineering, Mathematics or a technical field.
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management as it relates to big data trends and issues within businesses.
Experience in building ML solutions and leveraging specific ML architectures (e.g., deep learning, LSTM, convolutional networks).
Ability to learn quickly, understanding and working with new emerging technologies, methodologies and solutions in the cloud/IT technology space.