Successstoneit is hiring: Machine Learning Engineer in Riverside
Successstoneit, Riverside, CA, United States
4+ years of industry experience in building machine learning applications.
Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.
SQL - 3+ years of relevant exp (Mandate)
4+ years of Very strong ML project experience AWS
Experience with Big Data and distributed technologies such as Spark, EMR, Kafka a plus
Practical experience in object-oriented design, data structures, algorithm designs, run-time analysis and code quality verification.
Proficiency in at least one modern programming language such as Python (preferred), Scala, Java, Go.
Experience working hands-on developing and deploying ML solutions with software engineering rigor on cloud-based ecosystems such as AWS
Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing.
Prior exposure to internal PayPal micro-services or infrastructure a plus
Passion and intellectual curiosity for the FinTech domain.
Comfortable in working in an ambiguous, fast-paced and high-growth dynamic environment.
Excellent written and verbal communication, and ability to take ownership of meeting with cross-functional team leads on a regular basis
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Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.
SQL - 3+ years of relevant exp (Mandate)
4+ years of Very strong ML project experience AWS
Experience with Big Data and distributed technologies such as Spark, EMR, Kafka a plus
Practical experience in object-oriented design, data structures, algorithm designs, run-time analysis and code quality verification.
Proficiency in at least one modern programming language such as Python (preferred), Scala, Java, Go.
Experience working hands-on developing and deploying ML solutions with software engineering rigor on cloud-based ecosystems such as AWS
Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing.
Prior exposure to internal PayPal micro-services or infrastructure a plus
Passion and intellectual curiosity for the FinTech domain.
Comfortable in working in an ambiguous, fast-paced and high-growth dynamic environment.
Excellent written and verbal communication, and ability to take ownership of meeting with cross-functional team leads on a regular basis
#J-18808-Ljbffr