Staff Machine Learning Engineer

Realize your potential by joining the leading performancedriven advertising company!

As a Staff Machine Learning Engineer youll play be a key contributor to product and engineering roadmaps influencing decisions that affect millions of users daily.

To thrive in this role youll need:

• • M.Sc. or PhD. in Computer Science Mathematics Engineering or a related field
  • Strong knowledge in Python
  • Good knowledge in Java Scala or C#
  • 8 years of hands on experience with coding datascience / machine learning / statistical modeling based solutions
  • 3 years of hands on experience in Recommendation Systems Real Time Bidding or eCommerce.
  • Familiarity with deep learning / classic machine learning / reinforcement learning / multiarmed bandits algorithms.
  • Experience in data analysis and visualization and strong knowledge in SQL
  • Possess strong problem solving and critical thinking skills

How youll make an impact:

As a Staff Machine Learning Engineer youll bring value by:

• 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 companys revenue
• Work on a daily basis with some of the hottest trends in todays 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
• Provide technical leadership and mentor team members on best practices code reviews datainsights analysis results and machine learning technical designs.
• Own endtoend projects involving multiple stakeholders from architectural design and data pipeline configuration to production deployment and performance optimization.
• Be a key contributor to product and engineering roadmaps influencing decisions that affect millions of users daily.
• You will report directly to the group manager.

Our tech stack:

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

Why Taboola

If you ask Taboolars what they love about working here theyll tell you that theyve been empowered to realize their full potential while growing and learning from and with smart and talented people. Theyll also share more about:

• Adam Singolda Taboola Founder and CEO says; You can copy anything from another business but you cant copy a companys culture.
• Wellbeing: Enjoy comprehensive benefits (health 401k etc. a fully stocked kitchen and locationspecific perks (gym partnerships parking).
• Flexibility: We offer a hybrid work schedule with 3 days inoffice with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo Conde Nast Fox Sports NBCU ESPN CBS and E! Online. Our advertiser clients include Wells Fargo Honda Pinterest Expedia and Honda.

Ready to realize your potential

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications merit and business need.

Learn more about #TaboolaLife on LinkedIn Facebook Instagram X YouTube & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize Taboolas powerful ad platform reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News Yahoo and OEMs such as Samsung Xiaomi and others use Taboolas technology to grow audience and revenue enabling Realize to offer unique data specialized algorithms and unmatched scale.

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