Staff Machine Learning Engineer

Realize your potential by joining the leading performance-driven advertising company!

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

To Thrive In This Role, You'll 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 data-science / machine learning / statistical modeling based solutions
• 3+ years of hands on experience in Recommendation Systems, Real Time Bidding or e-Commerce.
• Familiarity with deep learning / classic machine learning / reinforcement learning / multi-armed bandits algorithms.
• Experience in data analysis and visualization and strong knowledge in SQL
• Possess strong problem solving and critical thinking skills
  
  

How You’ll Make An Impact

As a Staff Machine Learning Engineer, you’ll 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 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
• Provide technical leadership and mentor team members on best practices, code reviews, data-insights, analysis results and machine learning technical designs.
• Own end-to-end 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?

About

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

Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.

• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office 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, Taboola’s 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 Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.