You think XML wastes a lot of space and serialization can be done more efficiently? You are fascinated by artificial intelligence and would like to work on AI projects from the infrastructural perspective? Join and help us improve our AI tools and frameworks. Make them faster, more efficient, and more stable and learn a lot about AI on the way!
Your tasks:
- Improve a very interesting, but complex AI infrastructure in terms of efficiency, stability and scalability
- Transform high quality research source code projects into productive code
- Use the latest research in advanced data structure techniques and work on some new ones
- Design simple to use but powerful API in the backbone of our infrastructure
- Work on a job scheduling setup for long-running high-throughput training processes
- Work on APIs and API changes, ensuring software quality and API stability
Your skills:
- You know what sparse data and skewed distributions are and what the difference between remote and local calls mean in the context of API design
- Architectural decisions you made tend to stay
- You often find yourself showing others awesome tricks in Java (aka solid Java skills)
- You are a communicative person
- You are in good command of English (no other languages required)
- Solid knowledge of team oriented software development
The following skills would be a plus:
- You are interested in, but do not necessarily have experience in, machine learning, natural language processing, or image processing
- You have programmed in python already
- You can read and understand C++ (as in, you can also identify bugs)
by via developer jobs - Stack Overflow
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