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Staff Algorithm Engineer
7 hours ago
Realize your potential by joining the leading performance-driven advertising company
As a Staff Machine Learning Scientist, you'll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the company's revenue
To thrive in this role, you'll need:
- M.Sc. or PhD. in 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
As a Staff Machine Learning Scientist, 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
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, 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 TaboolaTaboola 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.
By submitting your application/CV, any personal information you provide will be subject to Taboola's Candidates Data Policy. Please 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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