7 hours ago
Base Salary
$139k - $195k/yr
Responsibilities
- Design and build predictive customer behavior models for targeting and personalization.
- Implement machine learning or statistics-based algorithms for prediction and optimization and deliver trained models to production.
- Own ML systems end to end, including design, development, deployment, measurement, maintenance, and supporting services.
- Build evaluation harnesses, automated testing frameworks, benchmarks, baselines, and guardrails for ML systems.
- Present technical findings clearly to product teams and technical leads.
- Build and maintain code that populates HDFS and Hadoop with logs from Kafka or data loaded from SQL production systems.
- Design, build, and support data transformation, conversion, and computation algorithms on Hadoop, Spark, and other distributed big data systems.
Requirements
- Bachelor’s or advanced degree in a relevant field, ideally Computer Science, Electrical Engineering, or Computational Economics.
- At least 5 years of hands-on experience with Python and Java.
- Proficiency with machine learning frameworks such as PyTorch and TensorFlow.
- Experience with recommendation systems, ranking algorithms, or personalization at scale.
- Experience taking end-to-end ownership of ML systems from design through production, measurement, and maintenance.
- Experience building automated evaluation harnesses and test frameworks for ML systems, including benchmarks, baselines, and guardrails.
- Ability to communicate technical findings clearly and collaborate across teams, including with a Tel Aviv team across differing work hours.
- Experience with Karpathy’s autoresearch, AutoML, or other agentic tools for ML experiments is a bonus.
Benefits
- Comprehensive health, dental, and vision benefits.
- 401(k) matching, paid parental leave, flexible PTO, discretionary bonus, and equity.
- Fully stocked kitchen and parking.
- Hybrid work schedule with 3 days in the office and the option to work in the office more often.
Tech Stack
Categories
Data EngineeringML Engineering
About Taboola
Taboola builds an AI-driven native advertising and content recommendation platform for publishers, advertisers, and device makers, including the Realize ad-buying platform. The public company, founded in 2007 and headquartered in New York, trades on NASDAQ and FRA, partners with publishers such as NBC News and Yahoo and OEMs like Samsung and Xiaomi, and its network reaches roughly 600 million daily active users.