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Algorithm Engineering Group Manager Job Opening In USA, USA – Now Hiring Taboola


Job description

Realize your potential by joining the leading performance-driven advertising company!

As an R&D Group Manager in our Los Angeles office, you’ll play a vital role in leading multiple teams in the development of AI-driven products and services within our platforms.

You’ll set technical direction for large-scale recommendation systems, personalization models, content understanding, and LLM-powered agent technologies—building scalable, intelligent solutions that enhance our platform’s performance, user experience, and business value.

This is a leadership role that blends technical vision with organizational impact, working closely with cross-functional stakeholders across Product, Marketing, Frontend, Backend, Policy, Professional Services, and Operations to ensure alignment with overall company goals.


To thrive in this role, you’ll need:

  • 6+ years of hands-on experience in data science and machine learning, with at least 3+ years in a managerial role overseeing multiple teams or managers.

  • Proven track record of managing complex, large-scale R&D projects in a tech-driven environment, preferably within an online platform or SaaS company.

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

  • Strong understanding of backend architectures (e.g., microservices, distributed systems) and data science principles (e.g., data analytics, machine learning, generative AI (LLMs), big data processing).

  • Familiarity with cloud platforms, data pipelines, and deployment best practices

  • Proficiency in Agile or similar project management methodologies, with a history of managing resources, timelines, and project risks effectively.

  • Ability to align team goals with broader business objectives and make decisions that impact long-term outcomes.
  • Bonus points if you have:

  • for recommendation systems, search, or ads

  • Knowledge of data privacy, security, and compliance in relation to online platforms.
  • How you’ll make an impact:


    AI-Driven Leadership: Champion an AI-first approach by integrating LLMs, code generation, simulations, and automation into all stages of development.

    Build AI-augmented teams trained to use these tools for faster prototyping, iteration, and decision-making.

  • Team Management & Development: Lead multiple R&D teams, providing mentorship and career development for engineers and data scientists.

    Cultivate an inclusive, collaborative, and high-performing culture.

  • Project & Resource Management: Manage planning and execution of complex R&D projects.

    Apply project management best practices to ensure timely delivery aligned with company priorities.

  • Cross-functional Collaboration: Partner closely with Product, Frontend, Backend, Policy, and Professional Services and other departments to ensure alignment and successful integration of development work with broader business initiatives.

  • Applied AI & Recommendation Systems: Drive development of large-scale recommendation systems, including candidate generation, retrieval, ranking, and post-ranking techniques (e.g., diversity, fairness, pacing, deduplication).

    Lead design and deployment of LLM-powered agents for creative review, content moderation, developer productivity, and services automation.

  • Technical Oversight & Infrastructure: Set technical vision across backend and data science workstreams.

    Define and monitor performance metrics (CTR, CVR, RPM, calibration, recall@k).

    Oversee experimentation frameworks (A/B, interleaving) and guide ML infrastructure including model pipelines, feature stores, embedding services, vector search, and low-latency model serving.

    Ensure solutions are scalable, reliable, cost-effective, and incorporate emerging advancements in AI and infrastructure.

  • Strategic Planning & Execution:Collaborate with senior leadership to shape the R&D roadmap, prioritize innovation opportunities, and ensure technical capabilities align with company growth objectives.
  • Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Algorithm Engineering Potential: Insight & Career Growth Guide


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    Are You Looking for Algorithm Engineering Group Manager Job?

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