|City, State, Zip:||Palo Alto, CA. |
|Project Name:||Machine Learning and Artificial Intelligence Candidate Interviewer|
|Expertise:||Don't Know/Not Sure|
|Description:||Interviewing and pre-qualifying candidates for our roles below:|
Artificial Intelligence(AI) and Machine Learning(ML) are essential for building the next generation of all Andrasta modular products with intelligence. We’re seeking talented Research Scientists that have applied experience to join our team and have a keen interest in innovating the modular approach of building intelligent, customizable consumer-facing products.
As the founding members of the Andrasta AI Research team, you will bring analytical rigor and statistical methods to the challenges of measuring user experience quality, improving consumer products, and understanding the behavior of end-user. You work on a small team, collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems and you’re able to switch projects as our fast-paced business grows and evolves. There is always more information out there, and the AI research team has a never-ending quest to find it and make it accessible.
Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
Combine broad and deep knowledge of relevant researches to model end user behavior through quant analysis, empower the ability to draw conclusions from data and recommend actions;
Perform research to advance the science and technology of intelligent machines and enable learning the semantics of data including but not limited to Text, Voice, Image, Video;
Work towards long-term ambitious research goals, while identifying intermediate milestones
MS degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related technical field;
2 years of experience in data analysis or related field;
Strong background in Machine Learning or Artificial Intelligence or in Natural Language Processing or Computer Vision;
PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics or related technical field;
Broad and deep knowledge of machine learning and deep learning research;
Experience building systems based on machine learning and/or deep learning methods;
Experience using technology to work efficiently with datasets such as scripting, Python, statistical software packages (R, S-Plus, SAS or similar) and Unix/Linux experience.
|Other Info:||Start Date : ASAP|
Location: Downtown Palo Alto, and open to some remote
Hour Rate: Open
|Date:||January 24, 2017|