taboola · Los Angeles, California, United States
Skills: Python, Java, SQL
Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US As a Sr Machine Learning Engineer on Taboola’s R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize — Taboola's performance advertising platform serving 600M+ daily active users. The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide. To thrive in this role, you'll need: Bachelor or advanced degree in a relevant field, ideally Computer Science, Electrical Engineering, or Computational Economics 5+ years of hands-on experience in Python and Java Proficiency with ML frameworks (e.g., PyTorch, Tensorflow) Experience with recommendation systems, ranking algorithms, or personalization at scale Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain — using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot) Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team) Bonus points if you have: Experience with Karpathy's autoresearch (MIT), AutoML or any other agentic tools for ML experiments How you’ll m …truncated… ="https://www.facebook.com/taboola/"> 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, Taboola’s powerful ad platform, reaching approximately 600M daily active…
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