דרושים ML Platform Engineering Manager בירושלים

**Who We Are

**Lightricks, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces.

Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platforms, Popular Pays and Content Lab, provide influencers with the ability to scale their content and monetize their work, while offering brands opportunities to expand their reach through tailored creator partnerships.

**What You Will Be Doing

**As the ML Platform Engineering Manager, you'll lead a team of backend engineers building Lightricks' AI infrastructure. Your team bridges research and production, taking cutting-edge ML and generative AI models from our research teams and turning them into scalable systems that power AI features for millions of users.

The ML Platform team owns the complete AI pipeline - from research prototype to production deployment. You'll build and maintain a high-performance inference platform that serves models at scale, enabling faster research iteration and seamless user experiences across our apps.

This role requires both technical leadership and people management skills. You'll make key architectural decisions for complex distributed systems while growing and mentoring your engineering team. Success means delivering reliable, scalable AI infrastructure that supports our rapid growth in a fast-paced environment.

Your Skills And Experience

• 6+ years of backend systems experience with 1-3 years in engineering management / strong technical leadership experience (tech lead, senior engineer leading platform initiatives)
• Proven track record of building and scaling platform systems, with demonstrated ownership of complex technical projects from design to production
• Solid experience with cloud-based distributed systems, including architecture decisions, deployment strategies, and operational practices
• Strong backend development skills with focus on API design, system scalability, and observability/monitoring
• Experience mentoring engineers and driving technical excellence within fast-growing teams
• Excellent communication skills with ability to collaborate across engineering, product, and other technical teams
• Interest in or exposure to ML model serving, GPU infrastructure, or ML platform tooling - preferred but not required
• Comfortable working in a distributed team environment with flexibility across time zones
• B.Sc. in Computer Science or equivalent technical background