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Senior Machine Learning Engineer
Confirmed live in the last 24 hours
Locations
San Jose, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Data Science
Data Structures & Algorithms
Java
Research
Scala
Natural Language Processing (NLP)
Python
Requirements
  • 5+ years of experience applying Machine Learning to concrete problems at large-scale with an MS or a PhD with 3 years of experience
  • Strong CS fundamentals. Should be able to write an algorithm with ease
  • Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models
  • Proven familiarity with NLP approaches like W2V or Bert, which includes identifying the right KPIs and objective functions
  • We'd love to see that you've worked with big data systems (Spark, EMR, S3, and AirFlow) and can program (Java, Scala, or Python)
  • Experience building in-production recommendation systems
  • Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc
  • MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred
Responsibilities
  • Understand the key business metrics and KPI's and develop the new one based on how business is evolving
  • Analyze user engagement and other key metrics to identify the trends
  • Research and develop - tree, sequence, or neural networks based - state of the art machine learning models. Do the offline analysis to compare multiple models
  • Run online AB tests and analyze them against the critical KPI's from #1
  • Develop the machine learning infrastructure to scale newer models on production and make them more reliable
  • Help develop multitask learning and multi objective model to balance different business KPI's
  • Help in recruiting new engineers
Roku

1,001-5,000 employees

Streaming platform for television
Company Overview
Roku's mission is to be the TV streaming platform that connects the entire TV ecosystem around the world. The company connects users to the streaming content they love, and we enable content publishers to build and monetize large audiences and provide advertisers with unique capabilities to engage consumers.
Benefits
  • Unlimited vacation days
  • Medical, wellness, and financial benefits
  • Free snacks and access to fitness center at headquarters
Company Values
  • High performance
  • Proud to work here
  • Trust and responsiblity
  • Talent
  • Communication and context
  • World class product
  • Simple process
  • Excellent partnerships
  • Content standards
  • High ethical standards