Responsibilities
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
- Suggest, collect and synthesize requirements to create effective feature roadmap
- Code deliverables in tandem with the engineering team
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Minimum Qualifications
- MS degree in Computer Science or related quantitative field or Ph.D. degree in Computer Science or related quantitative field
- 5+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
- Proven ability to translate insights into business recommendations
- Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable
- Knowledge developing and debugging in C/C++ and Java
- Experience with scripting languages such as Perl, Python, PHP, and shell scripts
Preferred Qualifications
- Experience with filesystems, server architectures, and distributed systems