Algorithm Engineer - Taiwan

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Taboola is the world’s leading content discovery platform, serving 360B recommendations to over 1B unique visitors each month on the web’s most innovative publisher sites, including NBC, USA Today, The Weather Channel,Tribune and Fox Sports. Taboola Newsroom helps writers, editors and special- interest teams make informed decisions to increase readership.

Taboola, the world’s largest content recommendation platform, is hiring an algorithm engineer to join our R&D Team in Taiwan.

• Implement Big Data machine learning pipelines;
• Analyze Big Data to find patterns and features to be used in machine learning models;
• Research, design, build and validate machine learning models based on business use cases and KPI given;
• Implement online experiments to evaluate and refine machine learning models;
• Productize machine learning models and implement optimization algorithms based on the models;
• Other machine learning and data science related work.

Skill Requirements:

• 1+ years developing high quality software in Java or equivalent Object- Oriented language.
• Experience in building and optimizing ‘Big Data’ data pipelines, architectures and data sets.
• Experience working with large datasets, using tools like Hadoop, Spark, Kafka, HBase, etc.
• Better understanding about SQL and NoSQL
• Strongly self-motivated and self-driven, a good team player

Nice to have:

• Experience with ElasticSearch, Mesos, and Kubernetes.
• Spark knowledge, with a specific focus on optimization, data manipulation (RDD, spark SQL queries) and persistence (HDFS, parquet, HBase) Familiar with scrum-based development

In this job you will:

• Design, develop and maintain big data software pipelines
• Being involved in team discussions about projects that requires data science and machine learning computation
• Architect and supervise complex data workflows based on data integration between Kafka, Apache Spark, Hbase and other similar systems
• Solve and enhance bottlenecks in the software stack by devising scalable distributed solution between different internal data centers and various cloud providers (like Google and AWS)
• Supervise, direct and mentor more junior developers