Telenav
Staff Software Engineer Machine Learning
Telenav, Santa Clara, California, us, 95053
Do you dream of what cars of the future will look like when you combine them with connectivity, a smartphone, and cloud services? Can you imagine uniting those dreams with a company that has the skills and relationships to make that a reality? If so, Telenav wants you! At Telenav, we believe the car is at the beginning of a massive innovation wave that mirrors what happened on the smartphone several years ago. Building on our long history of mobile and in-car navigation software and services, we are on a mission to make people’s lives less stressful, more productive and more fun when they’re on the go. We’re looking for a highly motivated Staff Software Engineer to join our growing Search team. RESPONSIBILITIES:
Design, model, validate and test algorithms by applying Machine Learning and Natural Language Processing techniques against various real-world datasets including behavioral data.
Improve existing products and create new ones by applying advanced algorithms and techniques.
Help develop roadmaps for application, assist with scoping and implementation for such products.
Analyze and optimize code for efficiency and performance.
Troubleshoot and resolve software defects and other technical issues.
REQUIRED EXPERIENCE:
Master's degree in Computer Science or related with 5+ years of relevant industry experience
Solid knowledge of various Machine Learning techniques.
Expertise with Natural Language Processing, such as Named entity recognition, Part-of-speech tagging, Language Model etc.
Excellent Java and/or Python programming skills.
DESIRED SKILLS OR EXPERIENCE:
Understanding of the internals of the state of the art Machine Learning techniques.
Development experience with Search technologies such as SOLR and/or Lucene or any other leading open source/commercial search engine.
Experience in using libraries/frameworks like tensorflow, caffe or nltk.
Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop
ABOUT TELENAV Telenav is a leading provider of connected car and location-based platform services, focused on transforming life on the go for people — before, during, and after every drive. Leveraging our location platform, global brands such as Ford, GM, Toyota and AT&T deliver custom connected car and mobile experiences. Additionally, advertisers such as Nissan, Denny's, Walmart, and Best Buy reach millions of users with our highly-targeted advertising platform. To learn more about how Telenav's location platform powers personalized navigation, mapping, big data intelligence, social driving, and location-based ads, visit www.telenav.com.
Design, model, validate and test algorithms by applying Machine Learning and Natural Language Processing techniques against various real-world datasets including behavioral data.
Improve existing products and create new ones by applying advanced algorithms and techniques.
Help develop roadmaps for application, assist with scoping and implementation for such products.
Analyze and optimize code for efficiency and performance.
Troubleshoot and resolve software defects and other technical issues.
REQUIRED EXPERIENCE:
Master's degree in Computer Science or related with 5+ years of relevant industry experience
Solid knowledge of various Machine Learning techniques.
Expertise with Natural Language Processing, such as Named entity recognition, Part-of-speech tagging, Language Model etc.
Excellent Java and/or Python programming skills.
DESIRED SKILLS OR EXPERIENCE:
Understanding of the internals of the state of the art Machine Learning techniques.
Development experience with Search technologies such as SOLR and/or Lucene or any other leading open source/commercial search engine.
Experience in using libraries/frameworks like tensorflow, caffe or nltk.
Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop
ABOUT TELENAV Telenav is a leading provider of connected car and location-based platform services, focused on transforming life on the go for people — before, during, and after every drive. Leveraging our location platform, global brands such as Ford, GM, Toyota and AT&T deliver custom connected car and mobile experiences. Additionally, advertisers such as Nissan, Denny's, Walmart, and Best Buy reach millions of users with our highly-targeted advertising platform. To learn more about how Telenav's location platform powers personalized navigation, mapping, big data intelligence, social driving, and location-based ads, visit www.telenav.com.