The point where experts and best companies meet
Share
You will work directly with Machine Learning Engineers to translate algorithms into production systems, optimizing model performance at scale, and Product Managers to align technical solutions with business objectives. As a member of the team you will also work with vendors, team members, and internal and external partners to give input into the way we work, how we serve customers, and where we invest in future capabilities.
Key job responsibilities
The Applied Scientist is accountable for:
(5) Contribute to scientific advancement through internal/external publications, active participation in ML communities, and staying current with latest developments
- 3+ years of building models for business application experience
- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
These jobs might be a good fit