Scaled Inference | Palo Alto, CA | Full Time, Visa
Help us build the world's first mainstream solution to machine learning (statistical inference) powered by an autonomous distributed system that infers ever-improving statistical models from web-scale data. Our system follows fundamental statistical principles under strict computational constraints while rigorously evaluating and benchmarking itself on a large, diverse collection of real-world data sets and applications. Building this type of mainstream platform requires close coordination among several research and engineering disciplines, each with crucial responsibilities.
We are looking for frontend, systems engineers and scientists. Strong foundations in probability, linear algebra, and optimization are a requirement. Preference on MS or PhD in Computer Science or equivalent degrees. If you feel you have a strong background in the above areas and have an BS still feel free to apply!
Help us build the world's first mainstream solution to machine learning (statistical inference) powered by an autonomous distributed system that infers ever-improving statistical models from web-scale data. Our system follows fundamental statistical principles under strict computational constraints while rigorously evaluating and benchmarking itself on a large, diverse collection of real-world data sets and applications. Building this type of mainstream platform requires close coordination among several research and engineering disciplines, each with crucial responsibilities.
We are looking for frontend, systems engineers and scientists. Strong foundations in probability, linear algebra, and optimization are a requirement. Preference on MS or PhD in Computer Science or equivalent degrees. If you feel you have a strong background in the above areas and have an BS still feel free to apply!
Open positions can be found here: https://scaledinference.com/jobs.html
You can also email me if you have any questions or just want to chat ken[at]scaledinference.com