Staff Machine Learning Engineer
Tel Aviv, Israel
Taboola
Reach 600M Daily Active Users and Achieve Conversions at Scale with the World's Leading Native Advertising PlatformCurious 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Big Data BigQuery Cassandra Computer Science Data analysis Data Analytics Deep Learning Docker Elasticsearch Engineering GCP Google Cloud HDFS Java Kafka Kubernetes Machine Learning Mathematics PhD Prototyping Python Scala Spark SQL Statistical modeling Statistics TensorFlow
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