Should AI be the exclusive domain of big corporations? We're on a mission to redefine access to AI, making it powerful yet affordable, seamlessly integrated into business operations, while maintaining a foundation of safety and reliability.
We don't just build AI models! We are at the forefront of innovating industry-leading data strategies and pioneering access techniques that supercharge small and medium-sized businesses.
If you’re passionate about making a tangible difference to the global adoption of AI and possess the skills and ambition to complement that passion, we eagerly want to hear from you.
You'd be joining us as part of our Cool Summer Internship initiative. But when it's over, you may be one of the interns invited to remain on the team. Also, if you are still a student, we'll customize your work schedule based on your school activities and help you with your graduation project.
This is an exciting opportunity to gain valuable work experience and have fun all summer long, so come on board! Plenty of perks await😉
What You Will Have to Do
Immerse yourself in the rapidly evolving landscape of ASR, TTS, and NLP to identify, design, and implement cutting-edge algorithms and methodologies
Join the cross-modal and multi-modal development effort
Coordinate with other teams in regards to the managed components
What You Must Know
Computer Science (or related technical field) student or fresh graduate
Very good understanding of Linux OS
Very good C/C++, Python or Java programming skills
Knowledge of data structures and algorithms
Knowledge of machine learning concepts and algorithms and when to select an algorithm based on a given problem
Practical experience with ML frameworks is considered a plus.
Benefits
- Over 20 benefits, from VIP medical insurance to shares and support programs
- Major technical challenges in real-time communications, high performance service delivery, data analytics
- Free meals and healthy snacks 😉
- Easy access to our office. We even have a Hugmobil to make your commute as short as possible
