Staff Machine Learning Engineer

Posted 12 Days Ago
Be an Early Applicant
Tel Aviv
Senior level
AdTech • Big Data • Digital Media • Marketing Tech
Taboola powers recommendations for the open web, helping people discover things they may like.
The Role
As a Staff Machine Learning Engineer at Taboola, you will oversee the complete algorithm lifecycle, develop algorithmic solutions for complex problems, and collaborate on projects like Internet Personalization and Real Time Bidding. You will apply your expertise in machine learning and big data to create impactful products that influence user engagement.
Summary Generated by Built In

Curious about what it’s like to work at the world’s number 1 discovery platform? We’re glad you asked!

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

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

 

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

Top Skills

Java
Python

What the Team is Saying

Ari
Jessica
Victor
Karina
Ning Ning
Kristy
Adam
Daniela
The Company
HQ: New York, NY
1,900 Employees
Hybrid Workplace
Year Founded: 2006

What We Do

Taboola powers recommendations for the open web, helping people discover things they may like.

The company’s platform, powered by artificial intelligence, is used by digital properties, including websites, devices, and mobile apps, to drive monetization and user engagement. Taboola has long-term partnerships with some of the top digital properties in the world, including Yahoo, CNBC, BBC, NBC News, Business Insider, The Independent, and El Mundo.

Around 18,000 advertisers use Taboola to reach nearly 600 million daily active users in a brand-safe environment. Taboola is a leader in powering e-commerce recommendations, driving more than 1 million monthly transactions, with leading brands including Walmart, Macy’s, Skechers, and eBay among key customers.

Learn more at www.taboola.com and follow @taboola on X.

Why Work With Us

Taboola is the best of both worlds: We're an established public company but operate like a startup! Our DTLA office is a tech-hub and sales office. You'll be surrounded by passionate and like-minded Engineers and Data Scientists working on large scale projects and Big Data, as well as Media sales professionals of all levels.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Taboola Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Taboola offers team members flexibility, we offer the ability to work remotely two days a week, a flexible time off policy (no need to accrue days off and no cap on how many vacation days you can take) & a very generous paid family leave policy!

Typical time on-site: 3 days a week
Company Office Image
HQNew York, NY
Company Office Image
London, United Kingdom
Company Office Image
Bangkok, Thailand
Amsterdam, NL
Company Office Image
Atlanta, GA
Company Office Image
Berlin, Germany
Boston, Massachusetts
Budapest, Hungary
Company Office Image
Chicago, IL
Company Office Image
Delhi, IN
Gurgaon, India
Seoul, South Korea
Company Office Image
Mexico City, Mexico
Company Office Image
Los Angeles, CA
Company Office Image
Madrid, Spain
Milan, Italy
Paris, France
São Paulo, Brazil
Stockholm, Sweden
Sydney, Australia
Company Office Image
Taipei City, Taiwan
Tel Aviv, Israel
Tokyo, Japan
Learn more

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account