Senior Machine Learning Engineer

Key Skills

Analytical and Problem solving, Apache Airflow, Big Data Technology, C++, Data Analysis, Data Visualization, Deep Learning, Google BigQuery, Java Programming, Machine learning techniques, Python Programming, Scala Programming, SQL

Job Description

What are some of the things you do on a day-to-day basis?

• Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
• Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue
• Work on a daily basis with some of the hottest trends in today’s job market: machine/deep learning, big data analytics/engineering and cloud computing
• Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
• Influence directly on the way billions of people discover the internet
• Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more

Our tech stack:

Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker

What are the skills a good Machine Learning Engineer in Machine Learning Group needs to have?

• Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
• 5+ years of hands on experience with coding machine learning/statistical modeling based solutions
• Strong knowledge in Python
• Good knowledge in Java, Scala or C++
• Familiarity with statistical modeling techniques
• Experience in data analysis and visualization and strong knowledge in SQL
• Possess strong problem solving and critical thinking skills

It would be great if you also have:

• Experience in leading Algorithms projects or teams.
• Experience in developing models using deep learning techniques and tools
• Experience in developing software within a distributed computation framework

Why Taboola?

• Taboola is the world’s leading recommendation platform reaching over 500 million daily active users. We’re growing rapidly, and have recently gone public on the NASDAQ.
• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• If you ask our employees what they love about Taboola they will tell you that here, they are able to discover their best professional selves, explore where they can grow to, and learn from and together with smart and talented people.
• At Taboola, we pride ourselves in making an impact on how people consume content across the world, a culture of transparency, passion, and a diverse, inclusive and friendly work environment.
• Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, YouTube, & the Taboola Life Blog.