
Software Engineer (Leadership) - Machine Learning
Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient. Effectively communicate complex features & systems in detail. Understand industry & company-wide trends to help assess & develop new technologies. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas. Suggest, collect and synthesize requirements and create an effective feature roadmap. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Experience leading projects with industry-wide impact
Experience in mentoring/influencing senior engineers across organizations
12+ years of experience in programming languages (Python, C++, Java or R) with technical background
Experience in shipping products to millions of customers or have started a new line of product
Java
C++
HBase
R
Hadoop
Hive
Spark
MapReduce
Pig
Effective Time Management
Data-mining and analysis
Process Improvement
Verbal communication
Driven and self-motivated
written communication
Problem Solving Skills
Flexibility/Adaptability
Detail Oriented and Organized
Multi tasker
According to JobzMall, the average salary range for a Software Engineer (Leadership) - Machine Learning in 12777 W Jefferson Blvd, Los Angeles, CA 90066, USA is between $150,000 and $200,000 per year. This range may vary depending on experience, education, and other qualifications.
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