Our Stack - languages and technologies we use and teach
- Mobile: Swift (iOS), Kotlin (Android)
- Web: React.js, TypeScript
- Services: Go for transactional systems;Python for analytical systems
- Datastores: Cassandra, MySQL, Redis, Google PubSub
- Infrastructure: Kubernetes on Google Cloud
Role Description
- Develop a deep neural network for audio flagging to improve operational efficiency
- Develop a Churn model to help determine when a customer is about to churn from Citizen
- Help determine how users are targeted for notifications
- Design feed ranking algorithms to improve business objects, including: Shares, Sign-ups, etc.
- Develop models for moderating video content (TV/Games, No content, etc.)
- Select best thumbnails from a list of videos and ranking videos within an incident
Preferred Qualifications
- Computer Science degree or Machine Learning related degree;or equivalent work experience in the field
- Good theoretical grounding in core Machine Learning concepts and techniques
- Ability to reason about and grasp the intuition behind fundamental principles of Linear Algebra, Statistics, Probability
- Experience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc
- Familiarity with one or more DL software frameworks such as TensorFlow, PyTorch
- 3+ years experience leading and delivering effective ML solutions for large scale production use cases
Citizen is a fully-distributed team that offers a competitive benefits package including medical, dental, vision, flexible spending accounts, paid time off, company holidays, stock options, and various wellness perks. Because our culture is highly collaborative, Citizen employees are expected to be available for meetings during our core working hours of 10:30am-6pm EST. We have employees across timezones, and we will do our best to accommodate you.
Citizen is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all.
Data source
Stack Overflow