Staff Machine Learning Engineer

Posted:
9/28/2023, 12:29:34 PM

Location(s):
Tel Aviv-Yafo, Tel Aviv District, Israel

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Pay:
$50/hr or $104,000 total comp

Curious about what it’s like to work at the world’s number 1 discovery platform as a Staff Machine Learning Engineer? We’re glad you asked!

Taboola, the world’s largest content recommendation platform, is hiring a Staff Machine Learning Engineer.

At Taboola, we currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our Taboolars have the opportunity to meet their teammates, connect with other teams and socialize with friends.

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? 

  • M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
  • 8+ 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. 
  • You can get to know us more by visiting our company website, careers site, Taboola Life blog and social media channels; Facebook, Instagram, Twitter and LinkedIn 

 

Want to learn more about us, you’re welcome to watch the latest News article about Taboola



Sounds good, how do I apply?

It’s easy, submit your CV by clicking the “Apply” button below. 

 

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.



#LI-Hybrid