Staff Algorithm Engineer
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Job Description
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Data Scientist youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
To thrive in this role youll need:
- . or Computer Science Mathematics Engineering or a related field
- 6 years of hands on experience with coding Deep learning / Machine learning / Reinforcement-learning / Statistical modeling based solutions
- 4 years Experience modeling auction dynamics in first-price environments (bid shading market price modeling win-rate prediction clearing-price / floor-price estimation)
Strong knowledge in Python - Good knowledge in Java Scala or C#
- Experience in data analysis and visualization and strong knowledge in SQL
- Possess strong problem solving and critical thinking skills
Bonus points if you have:
- Deep understanding of RTB ecosystems and standards (OpenRTB) header bidding (Prebid client/server) and ad-exchange integrations
- Hands-on experience with budgeting/pacing frequency capping throttling and guardrails to meet margin/CPA/ROAS targets
- Strong grasp of measurement and calibration (CTR/CVR calibration eCPM modeling lift studies) and experimentation (A/B tests multi-armed bandits)
- Experience in developing models using deep learning techniques and tools
- Experience in developing software within a distributed computation framework
How youll make an impact:
As a Staff Machine Learning Scientist 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
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.
- 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 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.
By submitting your application/CV any personal information you provide will be subject toTaboolas Employee Data review our policy carefully before submitting any of your personal information. You may contact us at with any questions about how we collect or use your personal information or your applicable rights.
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Required Experience:
Staff IC
Employment Type
Full-Time
