we are looking for a Software Engineer, Machine Learning
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team
Requirements:
Experience with developing machine learning models at scale from inception to business impact
Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
Expert knowledge developing production level ML products
Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
Preferred Qualifications
Masters degree or PhD in Computer Science or a related technical field.
Exposure to architectural patterns of large scale software applications
Experience with developing machine learning models at scale from inception to business impact
Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
Expert knowledge developing production level ML products
Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
Preferred Qualifications
Masters degree or PhD in Computer Science or a related technical field.
Exposure to architectural patterns of large scale software applications
This position is open to all candidates.
