Director, Machine Learning Engineering - Surfaces Foundation

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Machine Learning Engineering - Surfaces Foundation in Israel.This leadership role sits at the core of large-scale personalization systems that define how hundreds of millions of users experience recommendations across digital surfaces. You will guide the evolution of foundational machine learning platforms that power targeting, ranking, serving, and evaluation systems at massive scale. The role blends deep technical leadership with strategic platform thinking, ensuring teams can innovate quickly while relying on stable, shared infrastructure. You will work across multiple engineering, product, and data science groups to align priorities and shape long-term architectural direction. A key focus will be enabling scalable AI-driven systems and promoting the effective adoption of modern development tools across teams. This is a high-impact position where your decisions directly influence user experience, system performance, and the future of personalization technology.AccountabilitiesLead engineering managers and ML engineering teams building platform systems for large-scale personalization and recommendation use casesDefine and evolve the technical vision for core machine learning infrastructure, including targeting, serving, evaluation, and agent-based systemsEstablish platform capabilities that balance shared infrastructure with product team autonomy and speed of executionDrive incremental evolution of ML platforms, ensuring continuous delivery and avoiding disruptive system rewritesPartner with product, data science, and engineering leadership to align priorities across multiple squads and initiativesContribute to architectural decisions and resolve complex technical challenges in production environments when neededPromote and guide the adoption of AI-assisted development tools across engineering teamsRecruit, develop, and mentor engineering leaders and contributors, fostering a strong and inclusive cultureRequirementsExtensive experience building and scaling machine learning systems in large-scale consumer-facing productsStrong background in recommendation systems, ranking systems, or content delivery platforms with full ML lifecycle understandingProven ability to lead platform engineering teams and define long-term technical strategyStrong platform mindset with the ability to balance centralized infrastructure and product-level autonomyExperience working with modern AI tools and integrating them into engineering workflowsDemonstrated leadership in driving organizational or technical transformation initiativesStrong cross-functional collaboration skills across engineering, product, and data science teamsAbility to navigate ambiguity and make strategic trade-offs between short-term delivery and long-term scalabilityCommitment to building inclusive, high-performing engineering cultures and developing talentBenefitsFlexible remote work within the EMEA regionOpportunity to work on large-scale machine learning systems impacting global user experiencesStrong emphasis on career growth and leadership developmentCollaborative, cross-functional international environmentExposure to cutting-edge AI and personalization technologiesInclusive and supportive team culture focused on learning and innovationFlexibility aligned with Central European and GMT collaboration hoursHow Jobgether WorksWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether?Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.